Sentence Splitter

Notes:

One common approach to analyzing and processing documents is to split them into sentences and then parse the individual sentences to extract meaning and structure. This can be done using natural language processing (NLP) techniques such as tokenization, part-of-speech tagging, and dependency parsing. By breaking a document down into smaller units such as sentences and then analyzing the structure and meaning of those units, it becomes easier to understand the overall content and meaning of the document. This can be useful for tasks such as information retrieval, text summarization, and machine translation, among others.

  • ANNIE regex sentence splitter, also known as A Nearly-New Information Extraction System, is a software tool that uses regular expressions (regex) to split a document into individual sentences. ANNIE is a popular tool for natural language processing (NLP) tasks such as information extraction, text classification, and machine translation, and is often used as a preprocessing step before applying other NLP techniques.
  • Automatic discourse segmentation refers to the process of automatically dividing a document or text into coherent units such as paragraphs, sentences, or clauses. Automatic discourse segmentation can be useful for tasks such as information retrieval, text summarization, and machine translation, and can be achieved using a variety of techniques such as rule-based approaches, machine learning algorithms, and linguistic analysis.
  • Automatic sentence splitter is a software tool or algorithm that is designed to automatically divide a document or text into individual sentences. Automatic sentence splitters can be useful for tasks such as text analysis, machine translation, and information retrieval, and can be implemented using a variety of techniques such as rule-based approaches, machine learning algorithms, and linguistic analysis.
  • Cafetiere sentence splitter is a software tool that is designed to split a document or text into individual sentences. Cafetiere is a popular open-source sentence splitter that is written in Java and is available under the Apache License. It is often used as a preprocessing step for natural language processing (NLP) tasks such as information extraction, text classification, and machine translation.
  • CoreNLP sentence splitter is a software tool that is part of the Stanford CoreNLP library, which is a suite of natural language processing (NLP) tools developed at Stanford University. The CoreNLP sentence splitter is designed to automatically divide a document or text into individual sentences, and is often used as a preprocessing step for NLP tasks such as information extraction, text classification, and machine translation.
  • Discourse segmentation refers to the process of dividing a document or text into coherent units such as paragraphs, sentences, or clauses. Discourse segmentation can be useful for tasks such as information retrieval, text summarization, and machine translation, and can be achieved using a variety of techniques such as rule-based approaches, machine learning algorithms, and linguistic analysis.
  • GATE sentence splitter is a software tool that is part of the General Architecture for Text Engineering (GATE) framework, which is a widely used platform for natural language processing (NLP) tasks. The GATE sentence splitter is designed to automatically divide a document or text into individual sentences, and is often used as a preprocessing step for NLP tasks such as information extraction, text classification, and machine translation.
  • LingPipe sentence splitter is a software tool that is part of the LingPipe natural language processing (NLP) library, which is a suite of NLP tools developed by Alias-i. The LingPipe sentence splitter is designed to automatically divide a document or text into individual sentences, and is often used as a preprocessing step for NLP tasks such as information extraction, text classification, and machine translation.
  • Moses sentence splitter is a software tool that is part of the Moses machine translation system, which is a widely used open-source platform for natural language processing (NLP) tasks. The Moses sentence splitter is designed to automatically divide a document or text into individual sentences, and is often used as a preprocessing step for NLP tasks such as machine translation, information extraction, and text classification.
  • Narrative knowledge representation language (NKRL) is a formal language that is used to represent knowledge about narrative events and their relationships. NKRL is often used in natural language processing (NLP) tasks such as text summarization, information extraction, and machine translation, and is designed to be expressive enough to capture the complexity of natural language narratives.
  • NLTK sentence splitter is a software tool that is part of the Natural Language Toolkit (NLTK), which is a popular open-source library for natural language processing (NLP) tasks. The NLTK sentence splitter is designed to automatically divide a document or text into individual sentences, and is often used as a preprocessing step for NLP tasks such as information extraction, text classification, and machine translation.
  • OpenNLP sentence splitter is a software tool that is part of the OpenNLP library, which is a widely used open-source platform for natural language processing (NLP) tasks. The OpenNLP sentence splitter is designed to automatically divide a document or text into individual sentences, and is often used as a preprocessing step for NLP tasks such as information extraction, text classification, and machine translation.
  • Parsebank is a large annotated corpus of natural language sentences that have been manually parsed to extract their grammatical structure. Parsebanks are often used in natural language processing (NLP) tasks such as parser evaluation, treebank creation, and machine translation, and can be created using a variety of parsing algorithms and annotation schemes.
  • Pattern-based sentence splitter is a software tool or algorithm that uses predetermined patterns or rules to split a document or text into individual sentences. Pattern-based sentence splitters can be useful for tasks such as text analysis, machine translation, and information retrieval, and are often implemented using techniques such as regular expressions or rule-based approaches.
  • Regex sentence splitter is a software tool or algorithm that uses regular expressions (regex) to split a document or text into individual sentences. Regex sentence splitters can be useful for tasks such as text analysis, machine translation, and information retrieval, and are often implemented using a library or framework that provides support for regex matching and manipulation.
  • Regular expression-based sentence splitter is a software tool or algorithm that uses regular expressions (regex) to split a document or text into individual sentences. Regular expression-based sentence splitters can be useful for tasks such as text analysis, machine translation, and information retrieval, and are often implemented using a library or framework that provides support for regex matching and manipulation.
  • Rule-based sentence splitter is a software tool or algorithm that uses predetermined rules or patterns to split a document or text into individual sentences. Rule-based sentence splitters can be useful for tasks such as text analysis, machine translation, and information retrieval, and are often implemented using techniques such as regular expressions or predefined patterns.
  • Sentence splitter heuristic is a set of rules or guidelines that are used to split a document or text into individual sentences. Sentence splitter heuristics can be useful for tasks such as text analysis, machine translation, and information retrieval, and are often implemented as part of a rule-based or pattern-based sentence splitter.
  • Sentence splitter model is a statistical or machine learning model that is used to split a document or text into individual sentences. Sentence splitter models can be trained on annotated data to learn the characteristics of well-formed sentences, and can be useful for tasks such as text analysis, machine translation, and information retrieval.
  • Sentence splitter module is a software component or module that is designed to split a document or text into individual sentences. Sentence splitter modules can be useful for tasks such as text analysis, machine translation, and information retrieval, and can be implemented using a variety of techniques such as rule-based approaches, machine learning algorithms, and linguistic analysis.
  • Sentence splitter rules are predetermined patterns or guidelines that are used to split a document or text into individual sentences. Sentence splitter rules can be useful for tasks such as text analysis, machine translation, and information retrieval, and are often implemented as part of a rule-based or pattern-based sentence splitter.
  • StanfordNLP sentence splitter is a software tool that is part of the StanfordNLP library, which is a suite of natural language processing (NLP) tools developed at Stanford University. The StanfordNLP sentence splitter is designed to automatically divide a document or text into individual sentences, and is often used as a preprocessing step for NLP tasks such as information extraction, text classification, and machine translation.
  • Statistical sentence splitter is a software tool or algorithm that uses statistical methods to split a document or text into individual sentences. Statistical sentence splitters can be useful for tasks such as text analysis, machine translation, and information retrieval, and can be trained on annotated data to learn the characteristics of well-formed sentences.

Resources:

Wikipedia:

References:

See also:

100 Best GitHub: Sentence Boundary | Sentence Boundary Disambiguation & Dialog Systems | Sentence Extraction | Sentence Extraction Module | Sentence Extractor | Sentence Generation Module | Sentence Grammaticality | Sentence Parsers & Dialog Systems | Sentence Patterns & Dialog Systems | Sentence Planner | Sentence Recognition | Sentence Segmentation & Dialog Systems | Sentence Splitting & Dialog Systems | Sentence Summarization

Forecasting a Storm: Divining Optimal Configurations using Genetic Algorithms and Supervised Learning
M Trotter, T Wood, J Hwang – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… the Storm API and keeping with Storm best practices for topology parameter tuning, there are a total of 48 permutations for the number of workers and 255 possible configurations each for the parallelism values for the sentence spout, intermediary sentence splitter bolt, counter …

Tools of Opinion Mining
N Gupta, S Verma – Extracting Knowledge From Opinion Mining, 2019 – igi-global.com
… 1. RDF-OWL, 2. Alchemy API 3. GATE 4. UIMA 5. GETESS 6. Openthesaurus.de Transformation Part of speech tagger, Sentence splitter, Orthographic co-references 1. Tree Tagger 2. Sentence splitter, 3. Orthographic co-references …

Evaluating the Accuracy and Efficiency of Sentiment Analysis Pipelines with UIMA
N Altrabsheh, G Kontonatsios… – … on Applications of Natural …, 2019 – Springer
… Abstract. Sentiment analysis methods co-ordinate text mining components, such as sentence splitters, tokenisers and classifiers, into pipelined applications to automatically analyse the emotions or sentiment expressed in textual content …

Extracting health-related causality from twitter messages using natural language processing
S Doan, EW Yang, SS Tilak, PW Li, DS Zisook… – BMC medical informatics …, 2019 – Springer
… Next, a series of basic NLP components were applied: sentence splitter, lemmatizer, Part-of-Speech (POS) tagger, and a dependency parser … The default settings and pre-trained models in the package were used for sentence splitter, lemmatizer, and POS tagger …

Linguistic Processors and Infrastructure
B Magnini, L Bentivogli, A Lavelli, IALEHUJA Batalla… – cs.upc.edu
… Linguistic Processors and Infrastructure Page : 5 Sentence splitter. Morphological analyzer … Tokenizer Tokenizer UPC UPC TokenPro UPC Sussex LEX-Tokenizer CL-Tokenizer Sentence Splitter Splitter Splitter Splitter Morphological Lemati maco+ Sussex MorphoPro maco+ …

NLP BASED EVENT EXTRACTION FROM MAIL
HR Medhekar, RA Pawar, TD Salekar, V Dalal – ijeast.com
… extraction system. The ANNIE pipeline is composed of the tokenizer, the gazetteer, the sentence splitter, the part of speech tagger, and the named entity transducer [1].Its main use was to be used a named entity recognizer. Tags …

Basic Design of the architecture and methodologies (second round)
G Rigau, B Magnini, E Agirre – academia.edu
… Identifier Tokenizer Tokenizer UPC UPC TokenPro UPC Sussex LEX-Tokenizer CL-Tokenizer Sentence Splitter Splitter Splitter SentencePro Splitter … Morphological analyzer: improvement of the tool, lexicon extension and debugging. • Sentence splitter: partial improvement …

Public Crime Reporting and Monitoring System Model using SDM
PA Ghyar, MS Patil, SG Rajput, D GopalPatil – 2019 – academia.edu
… We used SDM and leveraged several of its modules and plug- ins. We adopted, without adjustment, the tokenizer, sentence splitter, part-of-speech (POS) tagger, noun chunks, and ortho-matcher … 2. Sentence Splitter?The text is split into several sentences …

Delta Analyzer: Tool-based Evaluation of Modified Requirements for an Efficient Development Effort Estimation in the RFQ Process
K Zichler, F Ritter, A Schul, S Helke – Position Papers of the 2019 …, 2019 – annals-csis.org
… 2 60 POSITION PAPERS. LEIPZIG, 2019 Page 71. 3. Sentence Splitter: The sentence splitter divides the entire text into individual sentences, which will wrap every sentence in a sentence annotation. This is needed later on for the Part- of-Speech Tagger …

Device for Location Finder and Text Reader for Visually Impaired People
G Aarthi, S Gowsalya, A Abijith, N Subhashini – 2019 – academia.edu
… The info includes diverse highlights with various effects as lexical fillers, sentence splitter, catchphrase spotter and word sense disambiguate … ii) Sentence splitters parts the sentences in each line which catches the sentence as picture and process it aurally …

Information Security Requirement Extraction from Regulatory Documents using GATE/ANNIC
N Janpitak, C Sathitwiriyawong… – 2019 7th …, 2019 – ieeexplore.ieee.org
… GATE incLudes An informAtion extrAction system cALLed ANNIE (A NeArLyYNeW InformAtion ExtrAction System) Which is A set of moduLes comprising A toNenizer, A gAzetteer, A sentence spLitter, A pArt of speech tAgger, A nAmed entities trAnsducer And A coYreference …

Literary Studies Meet Corpus Linguistics: Estonian Pilot Project of Private Letters in KORP.
M Laak, K Veskis, O Gerassimenko, N Kahusk, K Vider – DHN, 2019 – ceur-ws.org
… The standard procedure is a pipeline consisting of tokeniser, sentence splitter, morphological analyser (including POS-tagger and lemmatiser) and morphological disambiguator … Sentence splitter and tokeniser are tools that determine the quality of the corpus …

Hierarchical Document Encoder for Parallel Corpus Mining
M Guo, Y Yang, K Stevens, D Cer, H Ge… – arXiv preprint arXiv …, 2019 – arxiv.org
… An off-the-shelf sentence splitter is used to split the document into sentences.2 The results shows that the HiDE model is robust to the noisy sentence segmentations, while the aver- aging of sentence embeddings approach is more sensitive …

A Machine Learning-Based Approach for Demarcating Requirements in Textual Specifications
S Abualhaija, C Arora, M Sabetzadeh… – 2019 IEEE 27th …, 2019 – ieeexplore.ieee.org
… Tokenizer POS Tagger Sentence Splitter Preprocessing … The tokens may be words, numbers, punctuation marks, or symbols. The second preprocessing module, the Sentence Splitter, splits the text into sentences based on conventional delimiters, eg, period …

ToNy: Contextual embeddings for accurate multilingual discourse segmentation of full documents
P Muller, C Braud, M Morey – 2019 – hal.archives-ouvertes.fr
… However, performance of sentence splitters are far from perfect, especially for specific genres and low-resourced languages … Since sentence bound- aries are always discourse boundaries for RST and SDRT style segmentation, the performance of a sentence splitter is a lower …

Trust Analysis for Information Concerning Food-Related Risks
A Amato, G Cozzolino – … Conference on Emerging Internetworking, Data & …, 2019 – Springer
… Moreover, in our processing pipeline we add the Italian POS Tagger and ANNIE Sentence Splitter plugins … ANNIE Sentence Splitter: segments the text into sentences through a cascade of finite-state transducers; Adapt Tokeniser to Tagger …

Resolving Pronouns for a Resource-Poor Language, Malayalam Using Resource-Rich Language, Tamil.
SL Devi – Proceedings of the International Conference on Recent …, 2019 – aclweb.org
… 3.2.1 Pre-processing The input document is processed with a sentence splitter and tokeniser to split the document into sentences and the sentences into individual tokens which include words, punctuation markers and symbols …

Analysis of Consumers Perceptions of Food Safety Risk in Social Networks
A Amato, W Balzano, G Cozzolino… – … Conference on Advanced …, 2019 – Springer
… Moreover, in our processing pipeline we add the Italian POS Tagger and ANNIE Sentence Splitter plugins … ANNIE Sentence Splitter: segments the text into sentences through a cascade of finite-state transducers; Adapt Tokeniser to Tagger …

Multi-domain Aspect Extraction Based on Deep and Lifelong Learning
D López, L Arco – Iberoamerican Congress on Pattern Recognition, 2019 – Springer
… By analyzing the state-of-the-art we noticed that one of the most prominent libraries is the one provided by Stanford Dependency Parser, which also affords a POS tagger and a sentence splitter. Additionally, the model was trained by using the Tensorflow 4 framework …

Text mining for bioinformatics using biomedical literature
A Lamurias, F Couto – Encyclopedia of bioinformatics and …, 2019 – researchgate.net
… cell types), as well as POS tagging. GENIA sentence splitter [40] is an ML- based tool for identifying sentence boundaries in biomedical texts, trained on the GENIA 33 Page 58. 2. TEXT MINING FOR BIOINFORMATICS USING …

Arabic Rule-based Named Entity Recognition System Using GATE
HM ElSherif, KM Alomari, AQ AlHamad, K Shaalan – researchgate.net
… A Nearly-New Information Extraction System (ANNIE) included within GATE as a package of reusable processing resources for common natural language processing tasks(tokenizer, sentence splitter, POS tagger, gazetteer, Name matcher), ANNIE depend on finite state …

VSP at MEDDOCAN 2019
V Suárez-Paniagua – 2019 – pdfs.semanticscholar.org
… the Neural model. Firstly, the clinical cases are separated into sentences using a sentence splitter and the words of these sentences are extracted by a tokenizer, both were adapted for the Spanish language. Once the sentences …

Information Extraction from Twitter Using DBpedia Ontology: Indonesia Tourism Places
A Rosyiq, AR Hayah, AN Hidayanto… – 2019 International …, 2019 – ieeexplore.ieee.org
… phase. It consists of tokenization, sentence splitter, and part-of-speech (POS) Tagger. Then … classifier. It consists of two steps: 1) Tokenizer & Sentence Splitter Tokenization is the process to split the given text into smaller pieces. These …

Creating Data-Driven Ontologies: An Agriculture Use Case
MHT de Boer, JPC Verhoosel – … , Spain 24-28 march 2019, 52 …, 2019 – vb.northsearegion.eu
… Text2Onto [18] uses GATE to extract entities. GATE [19] has a submodule named ANNIE that contains a tokeniser, sentence splitter, Part-of-Speech (POS) tagger, gazetteer, nite state transducer, orthomatcher and coreference resolver …

Generating Knowledge Graphs from Scientific Literature of Degenerative Diseases
A Rossanez, JC dos Reis – 2019 – pdfs.semanticscholar.org
… the sentences from the raw text using a sentence splitter … In the preprocessing, we used Stanford’s CoreNLP [21] toolkit, which provides a sentence splitter, coreference resolver, and a tokenizer, PoS Tagger, and Parser, used to implement the abbreviation resolver …

Ontology-Driven News Classification with Aethalides
W Rijvordt, F Hogenboom… – Journal of Web …, 2019 – riverpublishers.com
… Named Entity Recognizer, 60.2, 54.1, 47.9, 61.1, 54.8, 48.6. Sentence Splitter, 94.7, 88.4, 82.1, 98.2, 91.6, 84.9. Part-of-speech Tagger, 91.8, 91.8, 91.8, 90.2, 90.2, 90.2 … 5.3.3 Sentence splitter. The Sentence Splitter, like the Tokenizer, has some problems with abbreviations …

GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection
Y Yu, Y Zhu, Y Liu, Y Liu, S Peng, M Gong… – arXiv preprint arXiv …, 2019 – arxiv.org
… The system was built by six graduate students and the instructor, with each student focusing on one module (notwithstanding occasional collabo- rations) in two phases: work on a high-accuracy ensemble sentence splitter for the automatic pars- ing scenario (see Section 3.2 …

Detection of Propaganda Using Logistic Regression
J Li, Z Ye, L Xiao – Proceedings of the Second Workshop on Natural …, 2019 – aclweb.org
… 3,526 sentences. Each article has been retrieved with the newspaper3k library and sentence split- ting has been performed automatically with NLTK sentence splitter (Da San Martino et al., 2019a). 2.2 Our Features We identified …

Analysis and prediction in sparse and high dimensional text data: The case of Dow Jones stock market
OC Sert, SD ?ahin, T Özyer, R Alhajj – Physica A: Statistical Mechanics and …, 2019 – Elsevier
… Several toolkits have also been proposed to accomplish natural language processing tasks, including Apache OpenNLP [2], Stanford CoreNLP [3] and OpeNER [4]. These toolkits provide operations such as tokenizer, sentence splitter, pos tagger, named entity recognition …

Support of Arabic Sign Language Machine Translation based on Morphological processing
S Asjea, O Ismail, S Khawatmi – International Journal of … – pdfs.semanticscholar.org
… natural language analysis is described in [17]. Stanford CoreNLP toolkit has analysis components supported for arabic like Tokenize, Sentence Splitter, POS tagger, Regex NER, Parser [18]. This paper is organized in the following …

LibriTTS: A corpus derived from librispeech for text-to-speech
H Zen, V Dang, R Clark, Y Zhang, RJ Weiss… – arXiv preprint arXiv …, 2019 – arxiv.org
… sentences and perform text normalization. 1. Book-level texts are first split into paragraphs at consec- utive newlines. 2. Each paragraph text is further split into sentences by the proprietary sentence splitter. 3. Non-standard words (eg …

De-Identification through Named Entity Recognition for Medical Document Anonymization
H Fabregat, A Duque, J Martinez-Romo, L Araujo – 2019 – ceur-ws.org
… Page 3. De-Identification through NER for Medical Document Anonymization Regarding the tokenization of each document, a sentence splitter was tested using CoreNLP [7], but having obtained worse results and lack of coherence in the BILOU format this splitter was discarded …

Ai_blues at finsbd shared task: Crf-based sentence boundary detection in pdf noisy text in the financial domain
D Mathew, C Guggilla – Proceedings of the First Workshop on Financial …, 2019 – aclweb.org
… This method is proposed for sentence boundary detection in multilingual sentences. Closest to our proposed approach is the work on token and sentence splitters using conditional random field in biomedi- cal corpus [Tomanek et al., 2007] …

Aueb at bioasq 7: document and snippet retrieval
D Pappas, R McDonald, GI Brokos… – In Submission, 2019 – nlp.cs.aueb.gr
… Like the original pdrmm, jpdrmm is trained on triples ?q, d, d ?, where q is a query, and d, d are relevant and irrelevant documents, respectively, sampled from the top N documents returned by the ir engine for q. In this case, however, we apply a sentence splitter to d and d , and …

Annotation projection for temporal information extraction
CR Giannella, RK Winder, JP Jubinski – Natural Language …, 2019 – cambridge.org
… document creation time. • Source language: a temporal information extraction system. • Target language: a tokenizer, sentence splitter, stemmer, constituency parser, and a temporal expression recognizer. The next subsection …

Multi-level semantic annotation and unified data integration using semantic web ontology in big data processing
PS Rani, RM Suresh, R Sethukarasi – Cluster Computing, 2019 – Springer
… components. Tokenizer, the sentence Splitter, the Part of Speech (POS) Tagger, and the Morphological Analyzer are the part of the components of the GATE architecture, which are involved in linguistic annotation method. These …

VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases
V Suárez-Paniagua – Proceedings of The 5th Workshop on BioNLP …, 2019 – aclweb.org
… the neural model. Firstly, the clinical cases are separated into sentences using a sentence splitter and the words of these sentences are extracted by a tokenizer, both were adapted for the Spanish language. For the experiments …

Improving UD processing via satellite resources for morphology
K Dobrovoljc, T Erjavec, N Ljubeši? – … of the Third Workshop on Universal …, 2019 – aclweb.org
… on adding an inflectional lexicon to the lemmatization process.9 While we perform experiments on the levels of morphosyntax, lemma and dependency syntax, we use gold segmentation to simplify our experiments as different tokenisers and sentence splitters are available for …

The LuNa Open Toolbox for the Luxembourgish Language
J Sirajzade, C Schommer – Advances in Data Mining, Applications …, 2019 – 158.64.76.181
… GUI. Fig. 3. Sentence splitter: Characters, which can denote sentence borders, can be ad- justed. Each sentence gets an attribute, which signals its belonging to a certain sen- tence. 2.6 Normalization (Standardization) Text …

Building deep learning models for evidence classification from the open access biomedical literature
GA Burns, X Li, N Peng – Database, 2019 – academic.oup.com
… These preprocessing steps were implemented using the ‘UIMA-Bioc’ software library that uses the ClearTk sentence splitter and tokenizer (with corrections for headings and titles that do not end in periods, see https://github.com/SciKnowEngine/UimaBioC). Word embeddings …

Dependency Tree Annotation with Mechanical Turk
S Tratz – Proceedings of the First Workshop on Aggregating and …, 2019 – aclweb.org
… 2.4 Evaluation For evaluation, we calculate both the percentage of words correctly attached (UAS: unlabeled at- tachment score) and the percentage of trees that 3Many of these errors may be due to the overly aggressive nature of our sentence splitter …

Question Answering based Clinical Text Structuring Using Pre-trained Language Model
J Qiu, Y Zhou, Z Ma, T Ruan, J Liu, J Sun – arXiv preprint arXiv:1908.06606, 2019 – arxiv.org
… 11]–[13]. Meanwhile, Fonferko et al. [10] used more components like noun phrase chunking [14]–[16], part-of-speech tagging [17]– [19], sentence splitter, named entity linking [20]–[22], relation extraction [23], [24]. This kind of …

Replicating medication trend studies using ad hoc information extraction in a clinical data warehouse
G Dietrich, J Krebs, L Liman, G Fette, M Ertl… – BMC medical informatics …, 2019 – Springer
… laboratory values. Figure 1 shows an example for a medication section. We added a sentence splitter for medication extraction that separates the individual medication instructions from each other. Furthermore, we deactivated …

Predicting chemical-induced disease relation from literature with CNN on single concatenated input
TQT Pham – 2019 – eprints.uet.vnu.edu.vn
… data with a ratio 85%:15%. To stop training process at the right time, we use the early stop technique on F1-score on the new validation data. The entire text will be passed through a sentence splitter. Then based on the name of …

Event Detection and Classification in Hungarian Natural Texts
Z Subecz – European Scientific Journal July, 2019 – academia.edu
… The toolkit called magyarlanc aims at the basic linguistic processing of Hungarian texts. The modules of magyarlanc are: sentence splitter, tokenizer, POS tagger and lemmatizer, stopword filtering, dependency parser, and constituency parser …

From medical records to research papers: A literature analysis pipeline for supporting medical genomic diagnosis processes
FL Bello, H Naya, V Raggio, A Rosá – Informatics in Medicine Unlocked, 2019 – Elsevier
… Chiu et al. [23] devise guidelines for good word2vec based embeddings, both CBOW and skip-gram, working on PubMed and the PMC corpus. For auxiliary tasks, these authors use GeniaSS as a sentence splitter and NLTK [24] for word tokenizing …

Semantic role labeling with pretrained language models for known and unknown predicates
D Larionov, A Shelmanov, E Chistova… – Proceedings of Recent …, 2019 – researchgate.net
… The pipeline for semantic role labeling assumes that input texts are preprocessed with a tokenizer, a sentence splitter, a POS-tagger, a lemmatizer, and a syntax parser that produces a dependency tree in a Universal Dependencies format (Nivre et al., 2016) …

Application of machine learning techniques in clinical information extraction
R Patel, S Tanwani – Smart Techniques for a Smarter Planet, 2019 – Springer
… SPECIALIST, Stanford CoreNLP. Evaluation of these tools for sentence boundary detection was presented and gave error analysis like detection of sentence splitters such as colon, semicolon but errors regardless of context [27]. As per …

EVENT DETECTION AND CLASSIFICATION IN NATURAL TEXTS
Z Subecz – gradus.kefo.hu
… The toolkit called magyarlanc aims at the basic linguistic processing of Hungarian texts. The modules of magyarlanc are: sentence splitter, tokenizer, POS tagger and lemmatizer, stopword filtering, dependency parser, constituency parser …

Informatics in Medicine Unlocked
FL Bello, H Naya, V Raggio, A Rosá – researchgate.net
… Chiu et al. [23] devise guidelines for good word2vec based embeddings, both CBOW and skip-gram, working on PubMed and the PMC corpus. For auxiliary tasks, these authors use GeniaSS as a sentence splitter and NLTK [24] for word tokenizing …

A Corpus-based Study of Reporting Verbs in Citation Texts Using Natural Language Processing
I Ihsan, S Imran, O Ahmed, MA Qadir – portals.au.edu.pk
… Table 1: Tabulation of NLP Toolkits Toolkit Language Open Source Description GATE (Cunningham, Wilks, & Gaizauskas, 1996) JAVA Sentence Splitter, POS Tagger Ellogon (Petasis, Karkaletsis, Paliouras, Androutsopoulos, & Spyropoulos, 2002) C, C++ TIPSTER …

Inter-sentence relation extraction with document-level graph convolutional neural network
SK Sahu, F Christopoulou, M Miwa… – arXiv preprint arXiv …, 2019 – arxiv.org
… argument) in an interaction. We processed the datasets using the GENIA Sentence Splitter4 and GENIA tagger (Tsuruoka et al., 2005) for sentence splitting and word tokeni- sation, respectively. Syntactic dependencies were …

Tell Me More: A Dataset of Visual Scene Description Sequences
N Ilinykh, S Zarrieß, D Schlangen – Proceedings of the 12th International …, 2019 – aclweb.org
… A few turns contained more than one sentence, as in- dicated by using the nltk sentence splitter (Bird et al., 2009), yielding an average of 1.01 sentences per turn. There are 208,778 tokens altogether in the corpus, realising 5,124 token types …

Latent Universal Task-Specific BERT
A Rozental, Z Kelrich, D Fleischer – arXiv preprint arXiv:1905.06638, 2019 – arxiv.org
… Twitter. In order to have the NS prediction loss, tweets were split into 2 parts: the first sentence and the rest of the tweet. Emoticons were considered to be a sentence splitter for this purpose but unlike characters such as [. ! ?] the …

Using Text Annotation Tool on Cyber Security News—A Review
MS Abdullah, A Zainal, MA Maarof… – 2019 International …, 2019 – ieeexplore.ieee.org
… One of the commonly used is ANNIE that consist several main processing resources such as tokenizer, gazetteer, sentence splitter, POS tagger, NER and so on. ANNIE can be loaded via ‘Load ANNIE’ icon on top of the bar beside the folder icon …

The Impact of Semantic Linguistic Features in Relation Extraction: A Logical Relational Learning Approach
R Lima, B Espinasse, F Freitas – Proceedings of the International …, 2019 – aclweb.org
… NLP Subtask Tool or Resource Tokenization Sentence Splitter Stanford CoreNLP POS Lemmatization Chunking OpenNLP Chunker NER Stanford CoreNLP Morphological Analysis Gazetteer Look-up ad hoc programs Pronoun Normalization Syntactic Parsing – Dependency …

Improving reference prioritisation with PICO recognition
AJ Brockmeier, M Ju, P Przyby?a… – BMC Medical Informatics …, 2019 – Springer
… To pre-process the text in titles and abstracts, sentence boundaries are determined using the GENIA sentence splitter 1 [96], which was trained on the GENIA corpus [97, 98] 2 . Within each sentence, GENIA tagger 3 is used to determine the boundaries between words and other …

Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical …
F Li, Y Jin, W Liu, BPS Rawat, P Cai… – JMIR medical …, 2019 – medinform.jmir.org
… respectively. For preprocessing, EHR notes were first split into sentences. Since the format of EHR notes is special, we did not only employ the period and line break as sentence splitters, but also other symbols such as the tab. After …

Multilingual universal sentence encoder for semantic retrieval
Y Yang, D Cer, A Ahmad, M Guo, J Law… – arXiv preprint arXiv …, 2019 – arxiv.org
… ments in the dataset into sentences using an off- the-shelf sentence splitter. Each question of the (question, answer spans) tuples in the dataset is treated as a query. The task is to retrieve the sen- tence designated by the tuple answer span …

Deep Learning from Incomplete Data: Detecting Imminent Risk of Hospital-acquired Pneumonia in ICU Patients
TR Goodwin, D Demner-Fushman – lhncbc.nlm.nih.gov
… associated pneumonia”). Consequently, to identify clinical observations we first pre-processed each clinical note using the OpenNLP? sentence splitter, tokenizer, lemmatizer, part-of-speech tagger, and dependency parser. After pre …

Similar minds post alike: Assessment of suicide risk using a hybrid model
L Chen, A Aldayel, N Bogoychev, T Gong – Proceedings of the Sixth …, 2019 – aclweb.org
… data. For the raw text model, the data are preprocessed as follows: Sentences are split by the NLTK sentence splitter and then spaces are inserted around each full stop to make sure mis-spelled cases are parsed correctly. For …

Automatic Tagging of Cyber Threat Intelligence Unstructured Data using Semantics Extraction
T Wang, KP Chow – … on Intelligence and Security Informatics (ISI …, 2019 – ieeexplore.ieee.org
… We imported each article to GATE and applied ANNIE with selected processing resources. For each plain text article or report, the Sentence Splitter split the plaintext into sentences regarding to the punctuations with its algorithms …

UAMSA: Unified Approach for Multilingual Sentiment Analysis Using GATE
A Amjad, U Qamar – Proceedings of the 6th Conference on the …, 2019 – dl.acm.org
… Analysis of annotations: Annotations on a set of text are provided on the corpus. A set of common annotations can be extracted for the number of documents which include tokenizer, Regex Sentence Splitter, POS tagging, adverbs, adjectives and noun phrases …

Understanding and Predicting Private Interactions in Underground Forums
Z Sun, CE Rubio-Medrano, Z Zhao, T Bao… – Proceedings of the …, 2019 – dl.acm.org
… We used an HTML parser (Beautiful Soup) to remove all these tags. Next, we used a sentence splitter from NLTK (Natural Language Toolkit) to divide the text content into sentences. We also used lemmatizers in NLTK to reduce inflectional forms to a common base form …

Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies
T Hernandez-Boussard, KL Monda… – Journal of the …, 2019 – academic.oup.com
… Steps include: removal of special characters; tokenization; sentence splitter; POS tagger (tags tokens with part of speech tags such as adjectives, proper nouns, etc.); named entity recognition (matches tokens against an internal map of entities); and negation and subject tagging …

R2BC: Tool-Based Requirements Preparation for Delta Analyses by Conversion into Boilerplates.
K Zichler, S Helke – Software Engineering (Workshops), 2019 – pdfs.semanticscholar.org
… Once a string in the text equals a string in a gazetteer, the named entity can be assigned. For this purpose, the string in the text receives an annotation called “Lookup”. Another important application is the sentence splitter. This application splits the text in sentences …

Inventory of Linguistic Processors
A Lavelli, IAL EHU – cs.upc.edu
… Version: Final Inventory of Linguistic Processors Page : 12 3.3 Splitter Type: Sentence Splitter Author: UPC Description: Splits a stream of tokens into sentences Languages: Spanish, Catalan, English Portability: Easy. Requires sentence marked training corpus …

Knowledge extraction from simplified natural language text
H Abdelaal – corpus, 2019 – aran.library.nuigalway.ie
Page 1. Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published version when available. Downloaded 2019-12-10T05:53:13Z Some rights reserved. For more information, please see the item record link above …

Vecalign: Improved Sentence Alignment in Linear Time and Space
B Thompson, P Koehn – Proceedings of the 2019 Conference on …, 2019 – aclweb.org
… This is problematic 8There is no clear choice for sentence seg- mentation in low-resource languages. We use https://github.com/berkmancenter/ mediacloud- sentence-splitter, falling back on English for unsupported languages …

Privacy Nudging in Search: Investigating Potential Impacts
S Zimmerman, A Thorpe, C Fox… – Proceedings of the 2019 …, 2019 – dl.acm.org
… To address all issues, we collected the first two sentences for task T9 and T10. For all other tasks, we ran the Python NLTK sentence splitter over the snippets to ensure only 2 sentences were visible for each result. Lastly, we needed a privacy marker …

Automatic text summarisation of case law using gate with annie and summa plug-ins
CT Aghaunor, GO Ekuobase – Nigerian Journal of Technology, 2019 – ajol.info
… The loaded processing resources immediately displayed on the Processing Resources menu in the Resource Tree; as shown in Figure 3. The loaded processing resources were: ANNIE Sentence Splitter (for sentence segmentation), ANNIE English Tokenizer (for tokenization …

A neural network-inspired approach for improved and true movie recommendations
M Ibrahim, IS Bajwa, R Ul-Amin, B Kasi – … intelligence and neuroscience, 2019 – hindawi.com
… methodology for semantics is depicted as follows:(i)The module fetches the reviews from microblogs related to movies such as CinemaBlend, Moviefone, and Rotten Tomatoes(ii)The module preprocesses the microblog text or reviews using a sentence splitter, tokenizer, and …

Information extraction (rule-based information retrieval)
C Rivas, D Tkacz, L Antao, E Mentzakis… – Automated analysis of …, 2019 – ncbi.nlm.nih.gov
… their corresponding trust. The non-highlighted PRs are the default PRs of GATE known as ANNIE (‘A Nearly-New IE’ system) PRs (although the sentence splitter has been swapped with a more efficient one). The JAPE transducer …

Comparative Study of the Most Useful Arabic-supporting Natural Language Processing and Deep Learning Libraries
Y ZAHIDI, Y EL YOUNOUSSI… – 2019 5th International …, 2019 – ieeexplore.ieee.org
… GATE includes an information extraction system called ANNIE (A Nearly-New Information Extraction System) which is a suite of modules including a tokeniser, a gazetteer, a sentence splitter, a part-of-speech tagger, a named entities transducer and a co-reference tagger …

A distantly supervised dataset for automated data extraction from diagnostic studies
C Norman, M Leeflang, R Spijker, E Kanoulas… – Proceedings of the 18th …, 2019 – aclweb.org
… manually convert- ing the semi-structured data into structured data items, and by ensuring that these items can be found in the corresponding article using pattern matching (see Table 1). We split each of the XML documents into sen- tences using the nltk sentence splitter.5 The …

Machine learning-based identification and rule-based normalization of adverse drug reactions in drug labels
M Tiftikci, A Özgür, Y He, J Hur – BMC …, 2019 – bmcbioinformatics.biomedcentral …
Use of medication can cause adverse drug reactions (ADRs), unwanted or unexpected events, which are a major safety concern. Drug labels, or prescribing information or package inserts, describe ADRs. Therefore, systematically identifying ADR information from drug labels is critical …

A Spatiotemporal Semantic Search Engine For Cultural Events
Y Norouzi, F Hakimpour – 2019 5th International Conference on …, 2019 – ieeexplore.ieee.org
… The most-used plug-in in GATE is ANNIE, a Nearly-New Information Extraction System, which is defined as a collection of information extraction components, comprising of a tokenizer, a gazetteer, a sentence splitter, a part of speech tagger, a named entities transducer and a …

Egyptian Informatics Journal
T Fahrudin, JL Buliali, C Fatichah – 2019 – researchgate.net
… InaNLP has nine mod- ules for text processing such as sentence splitter, tokenization, word formalization, morphologically analyzer (stemmer), POS tag- ger, phrase chunker, named entity tagger, syntactic parser, and semantic analyzer …

Extraction of chemical–protein interactions from the literature using neural networks and narrow instance representation
R Antunes, S Matos – Database, 2019 – academic.oup.com
Abstract. The scientific literature contains large amounts of information on genes, proteins, chemicals and their interactions. Extraction and integration of t.

Findings of the WMT 2019 shared task on parallel corpus filtering for low-resource conditions
P Koehn, F Guzmán, V Chaudhary, J Pino – Proceedings of the Fourth …, 2019 – aclweb.org
… by the document aligner. One modification was nec- essary to run the pipeline for Nepali due to the end-of-sentence symbol of the script that was pre- viously not recognized by the sentence splitter. The provided parallel corpus …

Appellate Court Modifications Extraction for Portuguese
WPD Fernandes, LJS Silva, IZ Frajhof… – Artificial Intelligence and …, 2019 – Springer
… and jurisdiction. Their system first applies a tokenizer and a sentence splitter to the input using GATE in order to split the text into units (tokens and sentences) and then it uses gazeteers to identify names of entities. The system …

Ina-BWR: Indonesian bigram word rule for multi-label student complaints
T Fahrudin, JL Buliali, C Fatichah – Egyptian Informatics Journal, 2019 – Elsevier
… InaNLP has nine modules for text processing such as sentence splitter, tokenization, word formalization, morphologically analyzer (stemmer), POS tagger, phrase chunker, named entity tagger, syntactic parser, and semantic analyzer …

Split-correctness in information extraction
J Doleschal, B Kimelfeld, W Martens… – Proceedings of the 38th …, 2019 – dl.acm.org
… For example, the paragraph and sentence splitters are disjoint, but N-gram extractors are not disjoint for N > 1. Next, we want to define when a spanner is splittable by a splitter, that is, when documents can be decomposed such that the operation of a spanner can be distributed …

Large-scale data harvesting for biographical data
A Plum, M Zampieri, C Orasan, E Wandl-Vogt, R Mitkov – 2019 – wlv.openrepository.com
… Therefore, we process each article using Stanford CoreNLP (Manning et al., 2014) accessed via a Python script to carry out an- notation tasks. We run a tokenizer, sentence splitter, part of speech tagger, lemmatizer, dependency parser and NER …

OCTANE: Oncology clinical trial annotation engine
J Zeng, MA Shufean, Y Khotskaya, D Yang… – JCO clinical cancer …, 2019 – ascopubs.org
PURPOSEMany targeted therapies are currently available only via clinical trials. Therefore, routine precision oncology using biomarker-based assignment to drug depends on matching patients to clini…

Improving Sentiment Polarity Detection Through Target Identification
ME Basiri, M Abdar, A Kabiri, S Nemati… – IEEE Transactions …, 2019 – ieeexplore.ieee.org
… To this aim, they aggregated Persian native speakers’ suggested polarities for lexicon terms gathered by a website. Finally, they elaborated a pipeline based on the GATE framework that contained Persian tokenizer, sentence splitter, part-of-speech (POS) tagger, and gazetteer …

CLOE: a cross-lingual ontology enrichment using multi-agent architecture
M Ali, S Fathalla, S Ibrahim, M Kholief… – Enterprise Information …, 2019 – Taylor & Francis
… 2017). Apache Tika2 package is used for language identification. (2) Sentence Splitter: detects the sentence boundaries in a raw input text. (3) Tokenization: each sentence is divided into a set of tokens. Tokens separated by delimiters such as white-space characters …

Length: 8702 words (excluding references)
BS Cárdenas, C Ramisch – pageperso.lis-lab.fr
… split Spanish contractions such as del (de+el, ‘of+the’) and al (a+el, ‘to+the’), and 6 We used the sentence splitter included in Europarl: http://www.statmt.org/europarl 7 The models used by UDPipe were trained on UD v1.4: http://ufal.mff.cuni.cz/udpipe Page 13 …

Distant supervision for silver label generation of software mentions in social scientific publications
K Boland, F Krüger – … Inf. Retrieval Nat. Lang. Process. Digit …, 2019 – wing.comp.nus.edu.sg
… Table 4 lists the number of unique software mentions that occurred at least n times in the corpus. The annotated corpus was split into sentences using the Stanford NLTK Sentence Splitter [3], resulting in 12,480 sentences. Afterwards …

Use of Part of Speech Tagging for Afaan Oromo Word Sense Modeling
L Daniel – 2019 – 213.55.95.56
Page 1. I ADDIS ABABA UNIVERSITY COLLEGE OF NATURAL SCIENCE SCHOOL OF INFORMATION SCIENCE USE OF PART OF SPEECH TAGGING FOR AFAAN OROMO WORD SENSE MODELING By: Lalise Daniel Beka February, 2019 Addis Ababa Ethiopia Page 2. II …

The DISRPT 2019 shared task on elementary discourse unit segmentation and connective detection
A Zeldes, D Das, EG Maziero, J Antonio… – Proceedings of the …, 2019 – aclweb.org
Page 1. Proceedings of Discourse Relation Parsing and Treebanking (DISRPT2019), pages 97–104 Minneapolis, MN, June 6, 2019. c 2019 Association for Computational Linguistics 97 The DISRPT 2019 Shared Task on Elementary …

Efficient Qualitative Method for Matching Subjects with Multiple Controls
HJ Chang, YH Hsu, CW Hsueh, T Hsu – ALLDATA 2019, 2019 – pdfs.semanticscholar.org
Page 55. Efficient Qualitative Method for Matching Subjects with Multiple Controls Hung-Jui Chang Department of Applied Mathematics Chung Yuan Christian University, Taoyung, Taiwan Email: hjc@ cycu. edu. tw Yu-Hsuan …

Exploring tourist dining preferences based on restaurant reviews
HQ Vu, G Li, R Law, Y Zhang – Journal of Travel Research, 2019 – journals.sagepub.com
Dining is an essential tourism component that attracts significant expenditure from tourists. Tourism practitioners need insights into the dining behaviors of t…

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB
H Schwenk, G Wenzek, S Edunov, E Grave… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB HolgerSchwenk GuillaumeWenzek SergeyEdunov EdouardGrave ArmandJoulin Facebook AI {schwenk,guw,edunov,egrave,ajoulin}@fb.com Abstract …

Automatic alignment of bilingual sentences: the case of English and Serbian
D Senicic, C Fairon – dial.uclouvain.be
Page 1. Available at: http://hdl.handle.net/2078.1/thesis:11186 [Downloaded 2019/04/25 at 21:04:08 ] “Automatic alignment of bilingual sentences: the case of English and Serbian” Senicic, Danica Abstract The aim of this thesis …

Adverse Drug Reaction Mentions Extraction from Drug Labels: An Experimental Study
SO El Alaoui – … for Sustainable Development (AI2SD’2018): Vol 4 …, 2019 – books.google.com
… 13795 12693 26488 Animal 44 86 130 DrugClass 249 164 413 Factor 602 562 1164 Negation 98 173 271 Severity 934 947 1881 5.3 Text Preprocessing The text files of the SPL-ADR-200db datasets were segmented into sentences using the Genia Sentence Splitter, 1 and …

Establishing News Credibility using Sentiment Analysis on Twitter
Z Sharf, Z Jalil, W Amir, N Siddiqui – Editorial Preface From the …, 2019 – researchgate.net
… This was comprised of steps including: Tokenizer–that splitted text into very simple tokens. Sentence Splitter–that fragmented text into sentences. POS Tagger–It produced a part of speech tag as an annotation for each word or symbol …

Enhancing Performance of Hybrid Named Entity Recognition for Amazighe Language
M Talha, S Boulaknadel, D Aboutajdine – Machine Learning Paradigms …, 2019 – Springer
… In the GATE framework, 2 our corpus is processed through a set of processing tools, including an Amazighe tokenizer, Sentence Splitter and resources, including, a set of gazetteers and grammar rules. First Level: Build Gazetteers …

Big Data and Internet Thinking
C Wu – cs.sjtu.edu.cn
Page 1. Big Data and Internet Thinking Chentao Wu Associate Professor Dept. of Computer Science and Engineering wuct@cs.sjtu.edu.cn Page 2. Download lectures …

Screening the Candidates in IT Field Based on Semantic Web Technologies: Automatic Extraction of Technical Competencies from Unstructured Resumes.
MI EN?CHESCU – Informatica Economica, 2019 – revistaie.ase.ro
… an annotation of type Lookup is created. 4. Sentence Splitter – defines the beginning and end of each sentence based on the punctuation marks identified by the To- kenizer. To achieve this, a Gazetteer list with abbreviations …

Probabilistic Named Entity Recognition for nonstandard format entities using cooccurrence word embeddings
JA AlAni, M Fasli – 2019 IEEE International Conference on Big …, 2019 – ieeexplore.ieee.org
… or places. Next is the sentence splitter which splits the text into multiple sentences to be ready for tagging using the standard Stanford POS tagger, after checking spelling and capitalization in the normalisation stage. Finally, both …

Comparing breast cancer treatments using automatically detected surrogate and clinically relevant outcomes entities from text
C Blake, R Kehm – Journal of Biomedical Informatics: X, 2019 – Elsevier
… equivalent or approximation. The Stanford Core NLP [11] sentence splitter was used to identify sentences and a small set of biomedical specific abbreviations were used to correct false sentence splits. The biomedical specific …

Emotion Analysis for Opinion Mining From Text: A Comparative Study
AM Mohsen, AM Idrees, HA Hassan – International Journal of e …, 2019 – igi-global.com
… asitaffectsthelearningexperience. They proposed a conceptual framework that can extract, analyze, and predict the emotionoflearnerstoassistthelecturerfordecisionsupportbyapplying thenatural languagestepsusingGATEtool(tokenization,sentence,splitter,POStagger …

Collecting Comparable Corpora
ML Paramita, A Aker, P Clough, R Gaizauskas… – … Comparable Corpora for …, 2019 – Springer
… 3.3 Postprocessed Latvian document. 3. Sentence Splitter. As discussed previously, this retrieval method identifies comparable documents by analyzing similarity between the sentences, that is, comparable documents are those containing parallel or comparable sentences …

PAVAL: A location-aware virtual personal assistant for retrieving geolocated points of interest and location-based services
L Massai, P Nesi, G Pantaleo – Engineering Applications of Artificial …, 2019 – Elsevier
… Relevant keywords are extracted from the user query using a GATE pipeline containing the default tokenizer, a sentence splitter, ruleset and lexicon, and the ANNIE plugin which allows to define patterns and rules (through the dedicated Jape library, a Java Annotation Pattern …

Semantically Constrained Multilayer Annotation: The Case of Coreference
J Prange, N Schneider, O Abend – arXiv preprint arXiv:1906.00663, 2019 – arxiv.org
… 14https://github.com/amir-zeldes/gum 15Since the RED documents are not tokenized (character spans are used for mention identification), we preprocessed them with the PTB tokenizer and the Punkt sentence splitter using Python NLTK. Page 7 …

Folksonomy Based Question Answering System
S Ramaswamy – 2019 – utd-ir.tdl.org
Page 1. FOLKSONOMY BASED QUESTION ANSWERING SYSTEM by Swetha Ramaswamy APPROVED BY SUPERVISORY COMMITTEE: _____ Dr. Dan Moldovan, Chair …

Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions
L Zhou, H Suominen, T Gedeon – JMIR medical informatics, 2019 – medinform.jmir.org
Clinical informatics, decision support for health professionals, electronic health records, and ehealth infrastructures.

Automatically Generating Gene Summaries from Biomedical Literature.(2006)
X LINg, J JIANG, X HE, Q MEI, CX ZHAI… – Pacific Symposium on … – ink.library.smu.edu.sg
… Page 7. September 23, 2005 21:8 Proceedings Trim Size: 9in x 6in ling 4 KR Module Sentence Splitter Summary FlyBase Resources Training Sentence Extraction Training Sentences Input Gene Name Gene Synonyms Query Expansion SynSet MEDLINE abstracts …

Word-embedding-based pseudo-relevance feedback for Arabic information retrieval
A El Mahdaouy, SO El Alaoui… – Journal of Information …, 2019 – journals.sagepub.com
Pseudo-relevance feedback (PRF) is a very effective query expansion approach, which reformulates queries by selecting expansion terms from top k pseudo-relevant…

Artificial Intelligence Approaches to the Analysis of Case Law
C Rauchegger – Recht und Sprache – researchgate.net
… First, the To- kenizer feature broke up the text into small units such as words or punc- tuation. Second, Sentence Splitter detected individual sentences in the text and, third, Named Entity Recognition identified named entities such as persons, places, organisations or dates …

Doménov?-specifická adaptace NER
B Jakovcheski – 2019 – dspace.cvut.cz
… GATE includes an information extraction system called ANNIE (A Nearly- New Information Extraction System)12 which is a set of modules comprising a tokenizer, a gazetteer, a sentence splitter, a part of speech tagger, a named entities transducer and a coreference tagger …

LSTM-Based End-to-End Framework for Biomedical Event Extraction
X Yu, W Rong, J Liu, D Zhou… – … /ACM transactions on …, 2019 – ieeexplore.ieee.org
… embeddings. Texts downloaded from BioNLP’09, BioNLP’11 and BioNLP’13 must be pre- processed before they can be sent into the training model. First, we split them into sentences using the Genia Sentence Splitter [29]. The …

Investigation of traditional and deep neural sequence models for biomedical concept recognition
ND Hailu – 2019 – mountainscholar.org
Page 1. INVESTIGATION OF TRADITIONAL AND DEEP NEURAL SEQUENCE MODELS FOR BIOMEDICAL CONCEPT RECOGNITION by Negacy Degefa Hailu BS, Mekelle Institute of Technology, 2007 M.Tech., Indian Institute of Technology, 2010 A thesis submitted to the …

Extracting Semantic-Based Video Game Characters Information from Social Media Platforms
O Sacco, A Liapis… – … and Computer Science, 2019 – article.mathcomputer.org
… GATE’s tokenizer relies on a set of regular expression rules which are compiled into a finite-state machine. This is followed by a sentence splitter that splits the text into sentences by determining whether punctuation such as full stops denote the end of a sentence …

The revival of the notes field: leveraging the unstructured content in electronic health records
M Assale, LG Dui, A Cina, A Seveso… – Frontiers in …, 2019 – ncbi.nlm.nih.gov
… open-source NLP framework (GATE). The overall pipeline consists of several components: starting from a section splitter of the medical records the process continues with a sentence splitter and tokenizer. The next step includes …

Optimising the Europarl corpus for translation studies with the EuroparlExtract toolkit
M Ustaszewski – Perspectives, 2019 – Taylor & Francis
… EuroparlExtract comes with detailed step-by-step instruc- tions, as well as all required pre- and post-processing tools, two of which – the sentence splitter and tokeniser – are based on third-party open-source software (Agerri, Bermudez, & Rigau, 2014; Koehn, 2005) …

High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP)
Y Zhang, T Cai, S Yu, K Cho, C Hong, J Sun, J Huang… – Nature protocols, 2019 – nature.com
Phenotypes are the foundation for clinical and genetic studies of disease risk and outcomes. The growth of biobanks linked to electronic medical record (EMR) data has both facilitated and increased the demand for efficient, accurate, and robust approaches for phenotyping millions …

Assessment of text coherence using an ontology?based relatedness measurement method
G Giray, MO Ünal?r – Expert Systems, 2019 – Wiley Online Library
Abstract This paper proposes a novel method for assessing text coherence. Central to this approach is an ontology?based representation of text, which captures the level of relatedness between conse…

Automated analysis of reflection in writing: Validating machine learning approaches
TD Ullmann – International Journal of Artificial Intelligence in …, 2019 – Springer
… unit may be more useful. A sentence splitter divided all texts of the collection (approximately 130,000 words) into sentences, and duplicated sentences and very short character strings were removed. Lastly, some of the sentences …

Named entity recognition goes to old regime France: geographic text analysis for early modern French corpora
K McDonough, L Moncla… – International Journal of …, 2019 – Taylor & Francis
Page 1. RESEARCH ARTICLE Named entity recognition goes to old regime France: geographic text analysis for early modern French corpora Katherine McDonough a,b, Ludovic Moncla c and Matje van de Campd aThe Alan …

To Comprehend the New: On Measuring the Freshness of a Document
T Ghosal, A Shukla, A Ekbal… – 2019 International Joint …, 2019 – ieeexplore.ieee.org
… 6it is where the sentence significance in the discourse comes to play which lies in the scope of our further research 7for one particular event there are three source documents but multiple target documents 8using NLTK sentence splitter …

Event Detection and Modelling for Security Application
N Kahar – 2019 – qmro.qmul.ac.uk
Page 1. Event Detection and Modelling for Security Application Nur Farhan Binti Kahar Submitted in partial fulfillment of the requirements of the Degree of Doctor of Philosophy Supervisor: Prof. Ebroul Izquierdo School of Electronic Engineering and Computer Science …

Visual Interactive Comparison of Part-of-Speech Models for Domain Adaptation
M John, F Heimerl, C Sudra… – … of the 52nd …, 2019 – scholarspace.manoa.hawaii.edu
… feedback of the users. In addition, a history view is needed that tracks these changes. Page 1572 Page 4. Documents Tokenizer Sentence Splitter OpenNlp … ANNIE Stanford TreeTagger POS Tagger Figure 1: The linguistic …

An advanced review on text mining in medicine
C Luque, JM Luna, M Luque… – … Reviews: Data Mining …, 2019 – Wiley Online Library

Medical Image Labeling and Report Generation
V Kougia – nlp.cs.aueb.gr
Page 1. DEPARTMENT OF INFORMATICS M.Sc. IN COMPUTER SCIENCE M.Sc. Thesis “Medical Image Labeling and Report Generation” Vasiliki Kougia F3321805 Supervisor: Ion Androutsopoulos Assistant supervisor: John Pavlopoulos ATHENS, SEPTEMBER 2019 Page …

Exploring the Correspondence Between Types of Documentation for Application Programming Interfaces
D Arya – 2019 – cs.mcgill.ca
Page 1. Exploring the Correspondence Between Types of Documentation for Application Programming Interfaces Deeksha Arya School of Computer Science McGill University Montreal, Quebec, Canada November 2019 A thesis submitted to McGill University in partial …

In search of meaning: Lessons, resources and next steps for computational analysis of financial discourse
M El?Haj, P Rayson, M Walker… – Journal of Business …, 2019 – Wiley Online Library
Page 1. This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record …

Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
F Christopoulou, M Miwa, S Ananiadou – arXiv preprint arXiv:1909.00228, 2019 – arxiv.org
Page 1. Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs Fenia Christopoulou1, Makoto Miwa2,3, Sophia Ananiadou1 1National Centre for Text Mining, School of Computer Science …

Neural Word Representations for Biomedical NLP
HW Chiu – 2019 – repository.cam.ac.uk
Page 1. Neural Word Representations for Biomedical NLP Chiu Hon Wing Department of Theoretical and Applied Linguistics University of Cambridge This dissertation is submitted for the degree of Doctor of Philosophy Fitzwilliam College June 2019 Page 2. Page 3. Declaration …

Eliciting specialized frames from corpora using argument-structure extraction techniques
BS Cárdenas, C Ramisch – … of Theoretical and Applied Issues in …, 2019 – jbe-platform.com
Abstract Frame Semantics provides a powerful cross-lingual model to describe the conceptual structure underlying specialized language. Building specialized frames is challenging because of the complex nature of predicate-argument structures, and because of the domain-specific …

Neural NLP models under low-supervision scenarios
Y Zhang – 2019 – repositories.lib.utexas.edu
Page 1. Copyright by Ye Zhang 2019 Page 2. The Dissertation Committee for Ye Zhang certifies that this is the approved version of the following dissertation: Neural NLP Models Under Low-supervision Scenarios Committee: Matthew A Lease, Supervisor …

MDL Approach for Unsupervised Multilingual Document Summarization
N Vanetik, M Litvak – Multilingual Text Analysis: Challenges, Models …, 2019 – World Scientific
Page 1. Chapter 3 MDL Approach for Unsupervised Multilingual Document Summarization Natalia Vanetik ? and Marina Litvak † Shamoon College of Engineering, Software Engineering Department, Byalik 56, Beer Sheva 84100 ? natalyav@sce.ac.il † marinal@sce.ac.il …

HDR: Contextual language understanding
B Favre – 2019 – pageperso.lis-lab.fr
Page 1. HDR: Contextual language understanding Thoughts on Machine Learning in Natural Language Processing Benoit Favre November 2, 2019 Page 2. 2 Page 3. Foreword This document is a habilitation à diriger des recherches (HDR) thesis …

Structurally Informed Document Classification of Norwegian Job Announcements
CU Moldestad – 2019 – duo.uio.no
Page 1. Structurally Informed Document Classification of Norwegian Job Announcements Celina Utnegaard Moldestad Thesis submitted for the degree of Master in Informatics: Programming and Networks (Language Technology Group) 60 credits Department of Informatics …

Contextual language understanding Thoughts on Machine Learning in Natural Language Processing
B Favre – 2019 – hal-amu.archives-ouvertes.fr
Page 1. HAL Id: tel-02470185 https://hal-amu.archives-ouvertes.fr/tel-02470185 Submitted on 7 Feb 2020 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not …

Stance Classification in Argument Search
P Heinisch – 2019 – philippheinisch.de
Page 1. Faculty for Computer Science, Electrical Engineering and Mathematics Department of Computer Science Research Group Computational Social Science Master’s Thesis Submitted to the Computational Social Science …

A typology of classifiers and gender: From description to computation
M Tang – 2019 – diva-portal.org
Page 1. ACTA UNIVERSITATIS UPSALIENSIS Studia Linguistica Upsaliensia 23 Page 2. Page 3. A typology of classifiers and gender From description to computation Marc Tang Page 4. Dissertation presented at Uppsala University …

Ontological Traceability using Natural Language Processing
R Benitez – 2019 – dspace.library.uu.nl
Page 1. Ontological Traceability using Natural Language Processing A master thesis presented by Edder de la Rosa Benitez Submitted to the Department of Organization and Information in partial fulfillment of the requirements for the degree of Master of Science in …

HEALTH SERVICES AND DELIVERY RESEARCH
C Rivas, D Tkacz, L Antao, E Mentzakis, M Gordon… – researchgate.net
Page 1. HEALTH SERVICES AND DELIVERY RESEARCH VOLUME 7 ISSUE 23 JULy 2019 ISSN 2050-4349 DOI 10.3310/hsdr07230 Automated analysis of free-text comments and dashboard representations in patient experience surveys: a multimethod co-design study …

A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Graduate Department of Computer Science
N Naderi – 2019 – db.toronto.edu
Page 1. COMPUTATIONAL ANALYSIS OF ARGUMENTS AND PERSUASIVE STRATEGIES IN POLITICAL DISCOURSE by Nona Naderi A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Graduate Department of Computer Science …

Ad Hoc Information Extraction in a Clinical Data Warehouse with Case Studies for Data Exploration and Consistency Checks
G Dietrich – 2019 – opus.bibliothek.uni-wuerzburg.de
Page 1. Ad Hoc Information Extraction in a Clinical Data Warehouse with Case Studies for Data Exploration and Consistency Checks vorgelegt von Georg Dietrich Würzburg, 2019 Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades …