Sentence Splitter 2017


Notes:

Every document is split into sentences, which are then parsed

  • ANNIE regex sentence splitter (A Nearly-New Information Extraction System)
  • Automatic discourse segmentation
  • Automatic sentence splitter
  • Cafetiere sentence splitter
  • CoreNLP sentence splitter *
  • Discourse segmentation
  • GATE sentence splitter
  • LingPipe sentence splitter
  • Moses sentence splitter
  • Narrative knowledge representation language (NKRL)
  • NLTK sentence splitter
  • OpenNLP sentence splitter
  • Parsebank
  • Pattern-based sentence splitter
  • Regex sentence splitter
  • Regular expression-based sentence splitter
  • Rule-based sentence splitter
  • Sentence splitter heuristic
  • Sentence splitter model
  • Sentence splitter module
  • Sentence splitter rules
  • StanfordNLP sentence splitter *
  • Statistical sentence splitter

Resources:

Wikipedia:

References:

See also:

100 Best GitHub: Sentence BoundarySentence Boundary Disambiguation & Dialog SystemsSentence ExtractionSentence Extraction ModuleSentence ExtractorSentence Generation ModuleSentence GrammaticalitySentence Parsers & Dialog SystemsSentence Patterns & Dialog SystemsSentence PlannerSentence RecognitionSentence Segmentation & Dialog SystemsSentence Splitting & Dialog SystemsSentence Summarization


An automated framework for detection and resolution of cross references in legal texts
N Sannier, M Adedjouma, M Sabetzadeh… – Requirements …, 2017 – Springer
… GATE provides various modules for processing natural language. In our work, we are interested specifically in the Tokenizer, Sentence Splitter, and Named Entity Recognizer modules … Next, the Sentence Splitter is executed to identify the sentences within the text …

Identifying top performing TF* IDF classifiers using the CNN corpus
AM Vans, SJ Simske – Archiving Conference, 2017 – ingentaconnect.com
… SharpNLP contains many different NLP functions, but we use only the sentence splitter, the tokenizer, and the part-of- speech tagger. The sentence splitter allows us to collect data on sentences, the tokenizer identifies individual …

EPE 2017: The Biomedical event extraction downstream application
J Björne, F Ginter, T Salakoski – EPE 2017, 2017 – svn.nlpl.eu
… These steps were, in order, conversion of plain text or the BioNLP Shared Task format to the In- teraction XML format (the file format used inter- nally by TEES), sentence splitting (with the GE- NIA sentence splitter; Sætre et al., 2007), named entity recognition (with BANNER …

Design a Perception Based Semantics Model for Knowledge Extraction
S Mahajan, S Sharma, V Rana – International Journal of …, 2017 – pdfs.semanticscholar.org
… 6.1.1 Sentence Splitter and Part of Speech (SSPOS): – The info question content is in crude frame and before any further handling should be possible, an inquiry content is required to be portioned into words and sentences …

RACAI’s Natural Language Processing pipeline for Universal Dependencies
SD Dumitrescu, T Boro?, D Tufi? – … of the CoNLL 2017 Shared Task …, 2017 – aclweb.org
… 3.1 Tokenization and Sentence Splitting The first module in the pipeline is the Tokenizer and Sentence Splitter. Depending on the train- ing data, we actually have 4 distinct tokeniz- ers/sentence splitters merged into our module …

LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network
V Suárez-Paniagua, I Segura-Bedmar… – Proceedings of the 11th …, 2017 – aclweb.org
… and NONE. The corpus is given in the paragraph level, that is why we use the NLTK2 sentence splitter to separate the rela- tions in the sentence level because we only have to annotate relations within a sentence. Once we …

A passage retrieval method based on probabilistic information retrieval model and UMLS concepts in biomedical question answering
M Sarrouti, SO El Alaoui – Journal of biomedical informatics, 2017 – Elsevier
… to a given biomedical question. We then take the abstracts from the retrieved documents and use Stanford CoreNLP for sentence splitter to make a set of sentences, ie, candidate passages. Using stemmed words and UMLS …

Multi-domain evaluation framework for named entity recognition tools
ZS Abdallah, M Carman, G Haffari – Computer Speech & Language, 2017 – Elsevier
… ANNIE can be used as a Web Service but it also provides its own interface for independent use. It offers a set of tasks (a tokeniser, sentence splitter, POS tagger, co-reference resolution, gazetteers, etc.) as a module that can be used for the discovery of entities … Sentence Splitter …

COMPOUND SENTENCE SEGMENTATION AND SENTENCE BOUNDARY DETECTION IN URDU
A IQBAL, A HABIB, J ASHRAF – pdfs.semanticscholar.org
… [7][19]. There are some online tools available that segment sentences on the basis of sentence termination marks. For example; 1.1. Automatic Sentence Segmentation 1.2. Morph Adorner Sentence Splitter Example Automatic …

Pre-processing Steps on Bilingual Corpus for SMT
A Paul, BS Purkayastha – International Journal, 2017 – ijarcs.info
… Fig 1: Pre-processing steps on bilingual corpus Step1. Sentence Splitter: – The corpora that which are collected from TDIL consist of 51 files in .XL format and total number of sentences in these files are 8830 (4415 English sentences and 4415 Nepali sentences) …

TEXT MINING OF JUDICIAL SYSTEM’s CORPORA VIA CLAUSE ELEMENTS
MR Talib, MK Hanif, Z Nabi, MU Sarwar… – International Journal on …, 2017 – ijits-bg.com
… Further, some more additional language processing tools such as, Document Reset PR-viouse (PR) for roll back, ANNIE English Tokeniser for lexical analysis, ANNIE Sentence Splitter for complex string processing, ANNIE POS Tagger for semantics, ANNIE Gazetteer for …

A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task
H Kanayama, M Muraoka, K Yoshikawa – Proceedings of the CoNLL …, 2017 – aclweb.org
… Self-contained system. To keep capabilities to control the input and output of the system, we use only our own components for the whole pipeline including sentence splitter, to- kenizer, lemmatizer, PoS tagger, dependency parser and role labeler …

Automatic extractive summarization on Indonesian parliamentary meeting minutes
MT Yulyanto, ML Khodra – Advanced Informatics, Concepts …, 2017 – ieeexplore.ieee.org
… Next, the contents of meeting minutes are splitted to sentences by sentence splitter in InaNLP4. Sentence splitter separates sequence of text into sentence units. After separated in sentences form, rule-based information extraction is applied using regular expressions …

Shoo the Spectre of Ignorance with QA 2 SPR
S Scannapieco, C Tomazzoli – 2017 – researchgate.net
Page 1. Shoo the Spectre of Ignorance with QA2SPR An Open Domain Question Answering Architecture with Semantic Prioritisation of Roles Simone Scannapieco, Claudio Tomazzoli September 11, 2017 Real T Srl & Parco Scientifico e Tecnologico, Verona, Italy …

An Arranged Marriage: Integrating DKPro Core in the Language Analysis Portal
M Kouylekov, E Lapponi, S Oepen, RE de Castilho – clarin.eu
… 3 DKPro Core Components in LAP To instantiate this new bi-directional bridge between LAP and DKPro Core, we first ‘manually’ wrapped two DKPro Core components: a (sentence) splitter-tokenizer and a tagger-parser (both from the CoreNLP eco-system) …

Extractions of Synonym Relations from English Translated Quran Using Seed Word Patterns
R Ismail, NAA Rahman, ZA Bakar – 2017 – researchgate.net
… Tokenizer: splits the text into tokens dependency analysis. The syntactic structures and text Sentence Splitter: splits the text into sentences dependency can be produced by POS tagging and POS Tagger: adds part-of-speech information to sentence parsing (parser) …

CLIEL: Context-Based Information Extraction from Commercial Law Documents
K Atkinson, D Bollegala, K Chapman, F Coenen… – pdfs.semanticscholar.org
… 1. Application of NLP (tokeniser, gazetteer and sentence splitter) to the input text using GATE to split the text into actionable units (tokens/words and sentences) and to identify names of entities, based on predefined lists, that can be used for annotations …

EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development
M Kubis, P Skórzewski, T Zi?tkiewicz – Proceedings of the 11th …, 2017 – aclweb.org
… The input fields we annotate are: desc, name, value, nl_command_statment, provider, sample, tags and api-name. The first pre-processing stage is sentence splitting. The sentence splitter is applied to nl_command_statment and desc fields only. The second step is tokenization …

LABAS-TS
A Sierra-Múnera, A Pomares-Quimbaya, RAG Rivera… – 2017 – researchgate.net
… The Spanish Sentence Splitter (Santamaría, 2016) was used to define sentence boundaries … For instance, a dot is a sentence splitter, but some abbreviation like “hnos.” meaning “hermanos” (siblings) should not split a sentence …

Sentiment Analysis in Marathi using Marathi WordNet
CV Chaudhari, AV Khaire… – Imperial Journal of …, 2017 – imperialjournals.com
Page 1. Imperial Journal of Interdisciplinary Research (IJIR) Vol-3, Issue-4, 2017 ISSN: 2454-1362, http://www.onlinejournal.in Imperial Journal of Interdisciplinary Research (IJIR) Page 1253 Sentiment Analysis in Marathi using Marathi WordNet …

Extract domain terminologies for knowledge graph construction using Domain Feature Vectors
Z Luo, H Wang, R Xie – Big Data Analysis (ICBDA), 2017 IEEE …, 2017 – ieeexplore.ieee.org
… The most basic and the primary solution is statistics- based method [3]. Sentences are parsed into words by a sentence splitter, and noise and trivial words, such as auxiliaries, adjectives, modal words, and so forth, are cleaned …

A Methodology for Social Networks Analysis and Mining
F Amato, G Cozzolino, V Moscato, A Picariello… – … Conference on P2P …, 2017 – Springer
… ANNIE Gazetteer The role of the gazetteer is to identify entity names in the text based on lists; ANNIE Sentence Splitter The sentence splitter is a cascade of finite-state transducers which segments the text into sentences; ANNIE …

Automatic recognition of symptom severity from psychiatric evaluation records
TR Goodwin, R Maldonado, SM Harabagiu – Journal of biomedical …, 2017 – Elsevier
… Consequently, we relied on the GENIA sentence splitter [15], which is a maximum entropy sentence boundary detection tool trained on biomedical texts. We observed that, in most cases, the GENIA sentence splitter was able …

A simple Perl tokenizer and stemmer for biomedical text
VI Torvik, NR Smalheiser… – … report, accessed from …, 2017 – pdfs.semanticscholar.org
… A free, public web interface has been implemented [7] which takes text (plain or rich format) as input. The user can specify whether to employ a sentence splitter on the input text (or not), to employ our tokenizer (or not), and to employ either the Porter stemmer or the biomedical …

Automatic Crime Report Classification through a Weightless Neural Network
RA Pinho, WAT Brito, CLR Motta, PV Lima – elen.ucl.ac.be
… Many techniques were used to treat the texts of the reports before using the WiSARD classifier. Basically five tasks were applied to the text of the reports: tokenizer, normalization, stopwords removal, sentence splitter and stemmer …

Semantic enrichment of user-generated educational scenarios with spatial concepts and entities
M Kavouras, M Kokla, E Tomai – geosem.ntua.gr
… these issues. 4.1.3 Processing the corpus For the NLP processing, we ran two tests. First, we used ANNIE, GATE’s default system with its set of NLP tools (tokenizer, gazetteer, sentence splitter, and POS tagger). In a separate …

Sentence-level sentiment analysis in Persian
ME Basiri, A Kabiri – … and Image Analysis (IPRIA), 2017 3rd …, 2017 – ieeexplore.ieee.org
… opinions on lexicon tokens. Ultimately, they designed and developed a linguistic pipeline based on the GATE framework, the components of which were a Persian tokenizer, sentence splitter, POS tagger, and gazetteer. As a result …

MetaMap Lite: an evaluation of a new Java implementation of MetaMap
D Demner-Fushman, WJ Rogers… – Journal of the American …, 2017 – academic.oup.com
… Its pipeline components, many of which are trained on clinical data, are as follows: (1) a sentence splitter, (2) a context-sensitive tokenizer, (3) an OpenNLP 12 -based part-of-speech tagger, (4) an OpenNLP-based shallow parser, (5) 2 implementations of an entity recognizer …

T-GOWler: Discovering Generalized Process Models Within Texts
A Halioui, P Valtchev, AB Diallo – Journal of Computational …, 2017 – online.liebertpub.com
… This chain comprises (1) the specialized biomedical tokenizer (Settles, 2004) and a simple sentence splitter (Bontcheva et al., 2013), (2) the MedPost/SKR POS (semantic knowledge representation part of speech) tagger (Smith et al., 2004), and (3) the lightweight OpenNLP …

PRST: A PageRank-Based Summarization Technique for Summarizing Bug Reports with Duplicates
H Jiang, N Nazar, J Zhang, T Zhang… – International Journal of …, 2017 – World Scientific
… The textual contents such as descriptions and comments of the master and duplicate bug reports were broken into sentences through a Sentence Splitter … These components include Sentence Splitter, PageRank, Regression, and Predication and Ranking Merger. 3.1 …

EusHeidelTime: Time Expression Extraction and Normalisation for Basque
B Altuna, MJ Aranzabe… – … del Lenguaje Natural, 2017 – journal.sepln.org
… document processing pipeline. As explained in Strötgen and Gertz (2010), for English, the UIMA pipeline contains a sentence splitter and to- kenizer and an OpenNLP PoS tagger to be used by the temporal tagger. For Basque …

The case for being average: A mediocrity approach to style masking and author obfuscation
G Karadzhov, T Mihaylova, Y Kiprov… – … Conference of the Cross …, 2017 – Springer
… 3.2 Modulizing the Text. We used the PAN-2016 Author Obfuscation task setup, ie, each text was to be split into parts of up to 50 words each. To do this, we first segmented the text into sentences using the NLTK sentence splitter …

Detecting Named Entities and Relations in German Clinical Reports
R Roller, N Rethmeier, P Thomas, M Hübner… – … Conference of the …, 2017 – Springer
… 3.1 Preprocessing. To carry out the experiment text documents are processed by a sentence splitter, a tokenizer, stemmer and Part-of-Speech (POS) tagger. The sentence splitting and tokenization are essential to split documents into single sentences and single word tokens …

Review of Biomedical Relation Extraction
SC ONYE, A AKKELE?, N DIMILILER – eijst.org.uk
… 8 Table 1: A list of common NLP tools for biomedical text (Bùi, 2012). Category Name URL Sentence splitter Lingpipe Enju http://alias-i.com/lingpipe http://www.nactem.ac.uk/y-matsu/ geniass Tokenization OpenNLP Stanford Lingpipe http://opennlp.apache.org …

A sampling based sentiment mining approach for e-commerce applications
G Vinodhini, RM Chandrasekaran – Information Processing & Management, 2017 – Elsevier
… The feature based sentiment mining generally uses sentences associated with relevant product features extracted from the reviews as the basis for classification. The review text is fragmented into sentences (lingpipe sentence splitter) …

The Web as Corpus in Translation
L SONG – DEStech Transactions on Social Science, Education …, 2017 – dpi-proceedings.com
… 9. Uplug, asuite of tools for pre-processing parallel corpora. Contains a tokenizer, a sentence-splitter, XML-tools, a sentence aligner, a word aligner, a corpus indexer (using the CWB), and Web search interfaces. Open source, at http://stp.lingfil.uu.se/joerg.uplug/. Conclusion …

Corpora for the Machine Translation Engines
C Espana-Bonet, J Stiller – 2017 – clubs-project.eu
… Parallel abstracts have to be aligned at sentence level in order to build the MT corpus. To do this, sentences are first split with an in-house sentence splitter and then passed to an aligner based on lengths and positions within the document …

Perspective For Handling NL Query
MS Tiwari, MYR Patanker – ijiter.com
… III. TRIPLES BASED MODEL To translate NL query to intermediary triple-based description linguistic components are used. Linguistic components consist of English tokenizer, sentence splitter, POS tagger and VP chunker. Page 2 …

Advancing Water Data Retrieval Through a Novel Water Environment Ontology System
M HUANG, X DONG, S LIANG, N LI, S HE… – Computer Science and …, 2017 – World Scientific
… Step2 A set of natural language processing(NLP)tools including sentence splitter, tokenizer, part-of-speech(POS) taggers, syntactic parsers, stop word filter have been employed to segment texts into grammatically meaningful syntagmatic units and organize them into non …

LaSTUS/TALN@ CLSciSumm-17: cross-document sentence matching and scientific text summarization systems
A Abura’ed, L Chiruzzo, H Saggion, P Accuosto… – 2017 – repositori.upf.edu
… 1B). 2.1 Text Processing The tokenizer, sentence splitter, part-of-speech tagger, and lemmatizer available in GATE’s ANNIE3 component were used to initially process the documents, 3 https://gate.ac.uk/ie/annie.html Page 3 …

The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation
G Georgiev, I Koychev, P Nakov – Experimental IR Meets …, 2017 – books.google.com
… 3.2 Modulizing the Text We used the PAN-2016 Author Obfuscation task setup, ie, each text was to be split into parts of up to 50 words each. To do this, we first segmented the text into sentences using the NLTK sentence splitter …

QUESTION ANSWERING SYSTEM: A REVIEW ON QUESTION ANALYSIS, DOCUMENT PROCESSING, AND ANSWER EXTRACTION TECHNIQUES.
FS UTOMO, N SURYANA… – Journal of Theoretical & …, 2017 – search.ebscohost.com
… [81] Tokenizer, sentence splitter, POS tagger, and chunker provided by GATE [91] Query triples (subject, predicate, object) [1] Spelling correction, query completion, stop words removal, diacritics removal operation, question classification, and query reformulation …

EXTRACTING NAMED ENTITIES AND RELATIONS FROM SPEECH
U Seema – 2017 – academicscience.co.in
… parsers, etc. For the relation extraction task, make use of a number of GATE components as follows: English Tokeniser, Sentence Splitter, POS Tagger, NP Chunker, VP Chunker, BuChart Parser, MiniPar Parser. To develop …

MultiScien: a bi-lingual natural language processing system for mining and enrichment of scientific collections
H Saggion, F Ronzano, P Accuosto… – … P, Chandrasekaran MK …, 2017 – repositori.upf.edu
… articles. We identify sentences in the abstracts and the paragraphs of each paper by means of a sentence splitter customized to scientific publications, thus by properly dealing with expressions like: ie, et. al., Fig., Tab., etc. Then …

Secure Information Exchange of Patient’s Health Records Using Anonymization Techniques
S Hina, HMAA Wahab, R Asif, SM Uzair… – INTERNATIONAL …, 2017 – paper.ijcsns.org
… GATE works in a series of steps as mention in fig b below that involves Document Reset, it resets the document by removing named annotation sets, English Tokenizer incorporates both normal tokenizer and JAPE transducer, Sentence Splitter breaks the text into sentences …

Users—The Hidden Software Product Quality Experts?: A Study on How App Users Report Quality Aspects in Online Reviews
EC Groen, S Kopczy?ska, MP Hauer… – … (RE), 2017 IEEE …, 2017 – ieeexplore.ieee.org
… Cases where this happened included statements that had independent clauses, such as two sentences that are joined by the word “but” or “and”, that lacked punctuation so that the sentence splitter failed to split them, or that simply covered multiple aspects, eg, “Nice interface …

MULTILINGUAL TEXT SUMMARIZATION TECHNIQUES
AS Sherry – pdfs.semanticscholar.org
… These documents contain images and unwanted information also. In the First Step stop words are removed. The sentence splitter is used to split document into sentences. The delimiter used is blank space here. In the next step sentences are again splitted into words …

From Requirements Engineering to UML using Natural Language Processing–Survey Study
OS Dawood – European Journal of Engineering Research and …, 2017 – ejers.org
… [11] Activity diagram + sequence diagram Activity: Sentence splitter + POS tagger + verb and object extractor. Sequence: pre-processing + parser + additional information identifier + adding conditions Generation both activity and sequence diagrams in good manner …

The Semantic Data Dictionary Approach to Data Annotation & Integration
SM Rashid, K Chastain, JA Stingone, DL McGuinness… – researchgate.net
… MUSE is a information extrac- tion system that performs named entity recognition using a tokeniser, sentence splitter, part of speech tagger, and a semantic tagger [9]. Armadillo is a generic and portable architecture for scraping information for websites [3]. KIM is a platform for …

Identifying Human Phenotype Terms by Combining Machine Learning and Validation Rules
M Lobo, A Lamurias, FM Couto – BioMed research international, 2017 – hindawi.com
… IHP uses StanfordCoreNLP and GeniaSS [13] (GENIA Sentence Splitter) to preprocess the text. GeniaSS was used with the default parameters. During the training stage, a model was created using CRFSuite, applying a 10-fold cross-validation technique on the GSC …

Extracting Criminal-Related Events from Arabic Tweets: A Spatio-Temporal Approach
F Abdelkoui, MK Kholladi – Journal of Information Technology …, 2017 – igi-global.com
… firstreleasein1996. ThereisasetofreusableprocessingresourcesprovidedwithGATE,whichforms aninformation systemnamedANNIE(ANearly-NewIEsystem).ANNIEconsistsofthemainprocessing resources forinformationextractionsuchas:tokeniser,sentencesplitter,POStagger …

The Evolution of Text Annotation Frameworks
G Wilcock – Handbook of Linguistic Annotation, 2017 – Springer
… users to get started doing annotations very quickly. ANNIE includes a sentence splitter, a tokenizer, a POS tagger, and a gazetteer lookup component for named entity recognition. A very wide range of components are provided …

Keywords Extraction from Crime Information Using Miscellaneous Data Sources
D Chaudhari, V Malvadkar, S Jadhav, A Pandit – ijrest.net
… components or modules are integrated[1]. Tokenizer: The tokenizer splits input text into tokens such as words, numbers and symbols. Sentence Splitter: This component separates an input text into sentences. POS Tagger: This is a revised version of the Brill tagger …

Mult-level semantc annotaton and unfed data ntegraton usng semantc web ontology n bg data processng
PS Rani, RM Suresh, R Sethukarasi – Cluster Computing, 2017 – Springer
… ponents. 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 …

Phrase Detectives
M Poesio, J Chamberlain, U Kruschwitz – Handbook of Linguistic …, 2017 – Springer
… A pre-processing step normalizes the input, applies a sentence splitter and runs a tokenizer over each sentence. The tokenizer and sentence splitter used to perform this process are from the popular openNLP toolkit. 17. A custom …

CLIEL: context-based information extraction from commercial law documents
M García-Constantino, K Atkinson, D Bollegala… – … of the 16th edition of the …, 2017 – dl.acm.org
… Extraction System). The GATE NLP modules included in ANNIE that are of interest with respect to CLIEL are: (i) English Tokeniser, (ii) Gazetteer and (iii) Sentence Splitter. The Tokeniser splits the text so that every word is a token. In …

N-ary relation extraction for simultaneous T-Box and A-Box knowledge base augmentation
M Fossati, E Dorigatti, C Giuliano – Semantic Web, 2017 – content.iospress.com
… despite some noise). Compared to the sentence splitter strategy, the syntactic one brought an increase of roughly 4x in the number of sentences, at a cost of 375x in processing time, which we deemed not worth. These numbers …

Social Networks Based Framework for Recommending Touristic Locations
M Ellouze, S Turki, Y Djaghloul… – Conference on …, 2017 – Springer
… information. To realize the morpho-lexical analysis we used the modules: “Document Reset”, “GATE Unicode Tokenizer”, “ANNIE Sentence Splitter” and the “LingPipe POS TAGGER”. Elementary Discourse Units Extraction. After …

Crowdsourcing named entity recognition and entity linking corpora
K Bontcheva, L Derczynski, I Roberts – Handbook of Linguistic Annotation, 2017 – Springer
… approaches. Firstly, documents are pre-segmented into sentences and word tokens, using GATE’s TwitIE plugin [8], which provides a tokeniser, POS tagger, and a sentence splitter, specifically adapted to microblog content. Due …

Development of neural network based rules for confusion set disambiguation in LanguageTool
M Brenneis, S Krings – fscs.hhu.de
… When a text is checked, LanguageTool uses its own language-specific sentence splitter, tokenizer and part-of-speech tagger to assign part-of-speech texts to every token in the input. Each sentence is then checked against the style and grammar rules …

Performance-Oriented Deployment of Streaming Applications on Cloud
X Liu, R Buyya – IEEE Transactions on Big Data, 2017 – ieeexplore.ieee.org
… Sentence Splitter divides the main body of text into a collection of separate words, and finally, Word Counter is responsible for the final occurrence counting … Kestrel Spout JSON Parser Sentence Splitter Word Counter 3 4 2 1 Fig …

CORA: A platform to support citation context analysis
B Yu, Y Hegde, Y Li – iConference 2017 Proceedings, 2017 – ideals.illinois.edu
… Because the sentence boundaries have been automatically identified by the Stanford sentence splitter, users just need to click on the sentence containing a citation to select a single- sentence boundary or drag the mouse to select more sentences …

A stepwise auto-profiling method for performance optimization of streaming applications
X Liu, AV Dastjerdi, RN Calheiros, C Qu… – ACM Transactions on …, 2017 – dl.acm.org
… The second operator, JSON Parser, parses the stream and extracts the main message body. Next, the Sentence Splitter divides the main body of text into a collection of separate words, and finally the Word Counter is responsible for the final occurrence counting …

Using named entity recognition for relevance detection in social network messages
FD da Gama Batista – 2017 – repositorio-aberto.up.pt
Page 1. FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO Using named entity recognition for relevance detection in social network messages Filipe Daniel da Gama Batista Mestrado Integrado em Engenharia Informática e Computação …

Modelling Design of OIS Ontology
AF Sawsaa, J Lu – Ontologies and Big Data Considerations for …, 2017 – igi-global.com
… Therefore, the total document is Page 6. 523 Modelling Design of OIS Ontology analysed by running the ANNIE application organised as document reset, Tokenizer, Sentence Splitter Gazetteer, POS tagger, JAPE transducer and Orthomatcher …

Semedico: a comprehensive semantic search engine for the life sciences
E Faessler, U Hahn – Proceedings of ACL 2017, System Demonstrations, 2017 – aclweb.org
… document input: MEDLINE, PMC sentence splitter tokenizer PoS tagger acronym resolver species tagger gene name normalization gene event extraction factuality rating concept tagging: MESH, GO, GRO ELASTICSEARCH Figure 1: SEMEDICO’s text analytics pipeline …

Prioritization of diseases in patient’s consultation notes using SNOMED CT
HMAA Wahab, W Mansoor, S Hina… – INTERNATIONAL …, 2017 – paper.ijcsns.org
… SnoMedTagger works on the concepts of SNOMED CT. By applying basic language processing tasks corpus was tokenized using English language tokenize and sentence splitter was used to split sentences. SnoMedTagger …

The problem learning Non-Taxonomic Relationships of Ontologies from unstructured data sources
M Ali, S Fathalla, M Kholief… – … and Computing (ICAC) …, 2017 – ieeexplore.ieee.org
… Machine learning Classification of relations: identify non-taxonomic relations from text corpus and infers new relations and identify their validity from these relations. [3] NLP Sentence Splitter, POS tag, Named Entity Recognition …

Detection of Spam on Amazon E-commerce platform
YAB El-Ebiary, SMS Hilles – International Journal of …, 2017 – ojs.mediu.edu.my
… To extract POS (Part of Speech) distribution feature using GATE application, the ANNIE Plugin was firstly added and then followed by three processing resources namely; ANNIE English Tokenizer, ANNIE Sentence Splitter and ANNIE POS Tagger were added …

EXTRACTIVE SUMMARIZATION USING SENTENCE EMBEDDINGS: Automatic summarization of news articles at Blendle
LM de Haas – 2017 – dspace.library.uu.nl
… splitter from the NLTK toolkit is used. For Dutch, the splitter has been improved by appending a scraped list of abbreviations to the exception list. This sentence splitter is used as preprocessing for all reproductions of sum- marization methods described later in this thesis …

LimTox: a web tool for applied text mining of adverse event and toxicity associations of compounds, drugs and genes
A Cañada, S Capella-Gutierrez, O Rabal… – Nucleic acids …, 2017 – academic.oup.com
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Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation
G Durrett, JK Kummerfeld, T Berg-Kirkpatrick… – arXiv preprint arXiv …, 2017 – arxiv.org
… The au- thors, who are researchers in either NLP or com- puter security, did all of the annotation. We preprocessed the data using the tokenizer and sentence-splitter from the Stanford CoreNLP toolkit (Manning et al., 2014) …

Dependency Parsing on Late-18th-Century German Aesthetic Writings: A Preliminary Inquiry into Schiller and F. Schlegel
A Salomoni – Proceedings of the 2nd International Conference on …, 2017 – dl.acm.org
… Welches ist denn nun die poetische Poesie ? Then, texts were brought into one-sentence-per-line form and split into one-word-per-line form with the sentence-splitter by Anna 3.6, obtaining two files in conll09 format. These …

Representation and Interchange of Linguistic Annotation. An In-Depth, Side-by-Side Comparison of Three Designs
RE de Castilho, N Ide, E Lapponi, S Oepen… – Proceedings of the 11th …, 2017 – aclweb.org
… in an informal collaboration among three frameworks for ‘basic’ natural lan- guage processing, where workflows can combine the outputs of processing tools from different devel- oper communities (ie software repositories), for example a sentence splitter, tokenizer, lemmatizer …

A Pattern for Concept Identification from English Translated Quran
R Ismail, NA Rahman, ZA Bakar – MATEC Web of …, 2017 – matec-conferences.org
… term Allah. • Processing with linguistic features such as: Tokenizer: splits the text into tokens Sentence Splitter: splits the text into sentences POS Tagger: adds part-of-speech information to tokens based on Stanford tagger After …

An Architecture for Automatic Generation of Computer Interpretable Guidelines
DR Schlegel – danielschlegel.org
… Manual Coreferencing VerbNet OBO Onts. … WordNet Tokenizer & Sentence Splitter Named Entity Recognizers Automatic Co-Referencers Morphological Analyzer POS Tagger & Dependency Parser Annotations Propositionalizer Syntax-Semantics Mapper Syntactic KB …

Information density of encodings: The role of syntactic variation in comprehension
L Sikos, C Greenberg, H Drenhaus, MW Crocker – coli.uni-saarland.de
… To obtain the corpus, we filtered the original XML dump using the tool WikiExtractor, split the corpus into sentences using the NLTK sentence splitter for German, and preprocessed the resulting dataset.2 After replacing all types occurring fewer than 15 times with , the …

Query-based summarization for Indonesian news articles
D Annisa, ML Khodra – Advanced Informatics, Concepts, Theory …, 2017 – ieeexplore.ieee.org
… POS tag of the words is needed for sentence scoring, while lemmatization and stopwords elimination will be observed as experiment variables. The news corpus is also preprocessed by conducting sentence splitter, tokenization, and stopwords elimination …

Bridging the gap within text-data analytics: a computer environment for data analysis in linguistic research
C Periñán-Pascual – Revista de Lenguas para Fines Específicos, 2017 – ojsspdc.ulpgc.es
… and WEKA). To illustrate, a pipeline can be constructed with the following processing resources: ANNIE Sentence Splitter + ANNIE Tokenizer + RASP2 POS Tagger + RASP2 Morphological Analyser + RASP2 Parser. On the …

N-ary Relation Extraction for Simultaneous T-Box and A-Box Knowledge Base Augmentation
S Web – pdfs.semanticscholar.org
… The Fact Extractor 9 Table 2 Comparative results of the Syntactic sentence extraction strategy against the Sentence Splitter one, over a uniform sample of a corpus gathered from 53 Web sources, with estimates over the full corpus Strategy # Documents # Extracted Cost …

Multi-level mining and visualization of scientific text collections
P Accuosto, F Ronzano, D Ferrés, H Saggion – 2017 – repositori.upf.edu
… In particular, we make use of the sentence splitter and tokenizer plugins integrated into the GATE framework [7], adapted for the specificities of the scientific articles, and of the POS-tagger and de- pendency parser available as part of the MATE modules for natural language …

Diagnosis Code Prediction from Electronic Health Records as Multilabel Text Classification: A Survey
JM Lee, AO Muis – pdfs.semanticscholar.org
… We follow the text preprocessing pro- cedure of Muis and Lu (2016) in using Stan- ford CoreNLP sentence splitter with additional heuristics to handle some semi-structured text in the dataset, including bullet lists and section names …

Ontology-based automated information extraction from building energy conservation codes
P Zhou, N El-Gohary – Automation in Construction, 2017 – Elsevier
… A set of domain-specific sentence splitting rules were, thus, developed for domain adaptation, because existing sentence splitters [eg, the A Nearly-New Information Extraction (ANNIE) Sentence Splitter] are domain and application-independent [8]; and, thus, caused errors in …

UPF at EPE 2017: Transduction-based Deep Analysis
S Mille, R Carlini, I Latorre, L Wanner – EPE 2017, 2017 – svn.nlpl.eu
… First, the raw text needs to be broken down into sentences, and the sentences into tokens, as the surface syn- tactic parser runs at sentence level and takes a one- word-per-line format as input. For this task, we use the Stanford Core NLP sentence splitter and tokenizer …

Multi-level mining and visualization of scientific text collections: Exploring a bi-lingual scientific repository
P Accuosto, F Ronzano, D Ferrés… – Proceedings of the 6th …, 2017 – dl.acm.org
… In particular, we make use of the sentence splitter and tokenizer plugins integrated into the GATE framework [7], adapted for the speci cities of the scienti c articles, and of the POS-tagger and de- pendency parser available as part of the MATE modules for natural language …

means to link research articles with biological data [version 1
A Venkatesan, JH Kim, F Talo, M Ide-Smith, J Gobeill… – researchgate.net
… The pipeline is mainly a cascade of three modules: ? Section tagger (Kafkas et al., 2015): a rule- based module for identifying different sections in articles such as Introduction, Methods and Results. ? Sentence splitter: an in-house module to identify sentence boundaries …

AN EMBELLISHMENT OF SEMANTIC KNOWLEDGE BASE USING NOVEL CROWD SOURCING AND GRAPH BASED METHODS FOR IMPROVING SENTIMENT …
P KALARANI… – Journal of Theoretical & …, 2017 – search.ebscohost.com
… The lexical analyzer converts the input text to output token stream. Sentence splitter delimits the sentences and upper case letters, exclamation points, periods; question marks as good indicators of sentence boundaries. Part …

Real-valued Syntactic Word Vectors (RSV) for Greedy Neural Dependency Parsing
A Basirat, J Nivre – Proceedings of the 21st Nordic Conference on …, 2017 – diva-portal.org
… banken. 6 The OpenNLP sentence splitter and to- kenizer are used for normalizing the corpora. We replace all numbers with a special token NUMBER and convert uppercase letters to lower- case forms in English and Swedish …

HOTEL GUEST REVIEWS AS A TOOL OF COMPETITIVE ADVANTAGE
C Andreeski – TOURISM IN FUNCTION OF DEVELOPMENT OF THE … – researchgate.net
… Syntactic and semantic analysis is taken for semi-automatic sentiment analysis. For the syntactic analysis we have applied the following Processing Resources–PRs from GATE PRs: ANNIE English Tokenizer, ANNIE Sentence Splitter, ANNIE POS Tagger and ANNIE Gazetteer …

End-to-End System for Bacteria Habitat Extraction
F Mehryary, K Hakala, S Kaewphan, J Björne… – BioNLP 2017, 2017 – aclweb.org
… con- vert all documents and annotation files from UTF- 8 to ASCII encoding using a modified version of publicly available tool designed for parsing PubMed documents (Pyysalo et al., 2013) 1. Next we split documents into sentences using the Ge- nia Sentence Splitter (Sætre et …

CR2Cancer: a database for chromatin regulators in human cancer
B Ru, J Sun, Y Tong, CN Wong, A Chandra… – Nucleic acids …, 2017 – academic.oup.com
Abstract. Chromatin regulators (CRs) can dynamically modulate chromatin architecture to epigenetically regulate gene expression in response to intrinsic and ex.

Arabic Rule-Based Named Entity Recognition Systems Progress and Challenges
RE Salah, LQ binti Zakaria – International Journal on Advanced …, 2017 – insightsociety.org
… Their corpora were collected from the archives including online Arabic newspaper, koora.net, aleqt.net, and Alquds.net. They used sentence splitter and tokenization with gazetteers. The system has been applied to three domains including politic, economic and sport …

Automatic Generation of Review Matrices as Multi-document Summarization of Scientific Papers
H Hashimoto, K Shinoda, H Yokono, A Aizawa – Proc. of – ceur-ws.org
… Text that appears in specific regions, such as captions, footnotes, or references, was excluded. The Genia sentence splitter (GeniaSS)7 was used for sentence splitting. Table 1 shows the funda- mental statistics of our dataset …

Leading by Narratives
E Sutinen, CS Montero, T Bell – … in Creative eMedia …, 2017 – ambientmediaassociation.org
… A sentence splitter process follows in or- der to segment the texts into sentences to aid sentence-level analysis. The tokenizer then separates the sentences into their basic constituents or tokens, such as words, numbers, symbols and punctuation …

A Hybrid Text Summarization Approach
S Mandal, GK Singh, A Pal – Journal of Informatics and …, 2017 – rgnpublications.com
… Text Corpus Classified Text Tokenization Sentiment Score Sentence Splitter SentiWordNet Implementation Speech Tagging Figure 1. Process of sentiment analysis Journal of Informatics and Mathematical Sciences, Vol. 9, No. 3, pp. 547–555, 2017 Page 6 …

Unsupervised Aspect Extraction from Free-form Conversations
ESA Lee, RW Zi, A Fazly, B Seibel, A De Andrade – 2017 – sentic.net
… url and html tags). We tokenize and tag the posts using the Stanford tokenizer and the Log-linear PoS-tagger [19], and split each post into a sequence of sentences using the Stanford sentence splitter [13]. We validate our method …

Metabolic pathway mining
JM Czarnecki, AJ Shepherd – Bioinformatics, 2017 – Springer
… Each component performed well when trained with either corpus, with the sentence splitter, tokenizer, and parts-of-speech tagger achieving accuracies of approximately 99 % and the chunker and parser achieving average F-scores of 92 % and 86 %, respectively …

Semi-automatic checklist-based quality assessment of natural language requirements= Avaliação semi-automática de qualidade de requisitos em língua natural …
A Rossanez – 2017 – repositorio.unicamp.br
Page 1. Universidade Estadual de Campinas Instituto de Computação INSTITUTO DE COMPUTAÇÃO Anderson Rossanez Semi-Automatic Checklist-Based Quality Assessment of Natural Language Requirements Avaliação Semi-Automática de Qualidade de Requisitos …

Hierarchical Topic Modeling Based on the Combination of Formal Concept Analysis and Singular Value Decomposition
M Smatana, P Butka – Multimedia and Network Information Systems, 2017 – Springer
… 3. First step in our procedure is to preprocess input collection of documents (contributions) and the creation of document-term matrix. The preprocessing consists of four steps: Sentence splitter—separate input documents into sentences …

Mpqa opinion corpus
T Wilson, J Wiebe, C Cardie – Handbook of Linguistic Annotation, 2017 – Springer
… 4.4 Annotation Process. To prepare a document for annotation, it was first passed through a tokenizer, sentence splitter, and part-of-speech tagger. The resulting automatic annotations were saved, along with the document text, in a GATE XML file with off-set annotations …

Feature-based opinion mining in financial news: an ontology-driven approach
MP Salas-Zárate, R Valencia-García… – Journal of …, 2017 – journals.sagepub.com
Financial news plays a significant role with regard to predicting the behaviour of financial markets. However, the exponential growth of financial news on the W…

Language Independent Proposal to Profile-based Named Entity Classification
I Moreno, MT Romá-Ferri, P Moreda – The First Workshop on Multi …, 2017 – researchgate.net
… Nevertheless, language independence does not mean that our approach do not need any lan- guage resource. As previously mentioned, our method requires lexical and morphological anal- ysis (ie sentence splitter, tokenizer, lemmatizer and PoS-tagger) …

Survey on Semantic Technologies based Web Information Retrieval and Service Selection Systems
NK Karthikeyan, BS Balaji, MB Shaheen – researchgate.net
… The components that are part of the pipeline, and come with GATE by default, are in order of usage: Document Reset, ANNIE English Tokenizer, ANNIE Gazetteer, ANNIE Sentence Splitter, ANNIE Part-of-Speech Tagger, and Onto Gazetteer …

Lexical and Morpho-syntactic Features in Word Embeddings
A Basirat, M Tang – researchgate.net
… Wikipedia corpus). The OpenNLP sentence splitter and tokenizer are used for normalizing the raw corpus. 3 We replace all numbers with a special to- ken NUMBER and convert uppercase letters to low- ercase forms. Due to …

Keeping Evolving Requirements and Acceptance Tests aligned with Automatically Generated Guidance
S Hotomski, EB Charrada, M Glinz – ifi.uzh.ch
… Analyzing changes at sentence level. In order to identify whether a whole sen- tence has been added, deleted or modified, we first split the old and the new version of the requirement into sentences using an implementation of the Stanford sentence splitter algorithm [10] …

Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation
E Lapshinova-Koltunski, C Hardmeier – Proceedings of the Third …, 2017 – aclweb.org
… standard tools. The texts in both languages were preprocessed with Penn Tree- bank tokeniser and Punkt sentence splitter with the language-specific sentence splitting models bundled with NLTK (Bird et al., 2009). Then, the …

Minimizing Human Labelling Effort for Annotating Named Entities in Historical Newspaper
WMFW Tamlikha… – Journal of …, 2017 – journal.utem.edu.my
… The by-default resources are for any kind of English texts and comprise tokenizer, sentence splitter, morphological analyzer, part-of- speech (POS) tagger, coreference resolution identifier, JAPE rules, and a set of gazetteers …

Integrating semantic NLP and logic reasoning into a unified system for fully-automated code checking
J Zhang, NM El-Gohary – Automation in Construction, 2017 – Elsevier
Existing automated compliance checking (ACC) systems are limited in their automation; they rely on the use of hard-coded, proprietary rules for representing reg.

Automatic Generation of Test Cases for Agile using Natural Language Processing
PP Rane – 2017 – vtechworks.lib.vt.edu
… The tool uses several features of the Stanford CoreNLP suite such as the tokenizer, sentence splitter, POS tagger and depen- dency parser. A natural language parser deciphers the grammatical structure of sentences using probabilistic knowledge of the language …

Automated Extraction and Clustering of Requirements Glossary Terms
C Arora, M Sabetzadeh, L Briand… – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
… A token can be a word, a number or a symbol. The next module, Sentence Splitter, divides the text into sen- tences. Subsequently, the POS Tagger annotates each token with a part-of-speech (POS) tag. These tags include, among others, Pronoun, Adjective, Noun, and Verb …

Extracting microRNA-gene relations from biomedical literature using distant supervision
A Lamurias, LA Clarke, FM Couto – PloS one, 2017 – journals.plos.org
Many biomedical relation extraction approaches are based on supervised machine learning, requiring an annotated corpus. Distant supervision aims at training a classifier by combining a knowledge base with a corpus, reducing the amount of manual effort necessary. This is …

Tools for automated analysis of cybercriminal markets
RS Portnoff, S Afroz, G Durrett, JK Kummerfeld… – Proceedings of the 26th …, 2017 – dl.acm.org
… Roughly 95% of posts in Darkode and Hack Forums con- tained products according to this annotation scheme. We addition- ally pre-processed the data using the tokenizer and the sentence- splitter from the Stanford CoreNLP toolkit [Manning et al. 2014]. 4.2.2 Models …

Recognizing cited facts and principles in legal judgements
O Shulayeva, A Siddharthan, A Wyner – Artificial Intelligence and Law, 2017 – Springer
… As reported by GATE Sentence Splitter (GATE 8.0.), the full corpus contained 1211012 tokens (or words) and 22617 sentences which included headings and other units that didn’t form full sentences from grammatical point of view …

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 …

PATENT DOCUMENT SUMMARIZATION USING CONCEPTUAL GRAPHS
PRK Rao, SL Devi – pdfs.semanticscholar.org
… used. Each document is pre-processed to obtain syntactic and semantic information using Natural Language Processing (NLP) tools. The sentence splitter and tokenizer are done using grammar and heuristic rules. We make …

Inferring Clinical Correlations from EEG Reports with Deep Neural Learning
TR Goodwin, SM Harabagiu – hlt.utdallas.edu
… Before applying the Deep Section Recovery Model, we pre-processed each EEG report with three basic natural language processing steps: (1) sentence boundaries were identified using the OpenNLP? sentence splitter; (2) word boundaries were detected using the GENIA21 …

Past, present, and future on news streams: discovering story chains, selecting public front-pages, and filtering microblogs for predicting public reactions to news
Ç Toraman – 2017 – repository.bilkent.edu.tr
… software developed by The University of Sheffield. It has a pipeline of NLP mod- ules to extract information from plain text such as sentence splitter, tokenizer, POS (part of speech) tagger, and NER. Each of these modules has a language resource …

Scalable and Declarative Information Extraction in a Parallel Data Analytics System
A Rheinländer – 2017 – edoc.hu-berlin.de
Page 1. Scalable and Declarative Information Extraction in a Parallel Data Analytics System DISSERTATION zur Erlangung des akademischen Grades Doktor-Ingenieur (Dr.-Ing.) im Fach Informatik eingereicht an der Mathematisch-Naturwissenschaftlichen Fakultät …

A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text
J Liang, X Xian, X He, M Xu, S Dai, J Xin, J Xu… – Journal of healthcare …, 2017 – hindawi.com
… Then, with the character-to-pinyin function on Microsoft Office Word 2011, we transformed all Chinese characters into pinyin. Finally, the sentence splitter from the adjusted ICTCLAS system [26] was used to segment the text into sentences …

A comparison of big data frameworks on a layered dataflow model
C Misale, M Drocco, M Aldinucci… – Parallel Processing …, 2017 – World Scientific
… occurrences. The spout (random sentences) and bolts (sentence splitter, word counting) are created and connected in the main method. 1740003-8 Page 9. A Comparison of Big Data Frameworks on a Layered Dataflow Model …

Extracting discourse elements and annotating scientific documents using the SciAnnotDoc model: a use case in gender documents
H de Ribaupierre, G Falquet – International Journal on Digital Libraries, 2017 – Springer
… We used a rule-based system to generate annotations based on the syntactic patterns detected in each sentences.5 We used GATE,6 a text engineering platform, ANNIE,7 a component that forms a pipeline composed of a tokeniser, a gazetteer, a sentence splitter and a part-of …

Event extraction from bio-medical documents
K Nayak – 2017 – library.isical.ac.in
… approach. The organizers provided different sup- porting resources, that is, the training, development and test data were preprocessed by BioC lemmatizer, Genia sentence splitter, Genia Treebank tokenizer, Stanford Parser, etc …

An assessment of open relation extraction systems for the semantic web
A Zouaq, M Gagnon, L Jean-Louis – Information Systems, 2017 – Elsevier
… We made some slight modification on this dataset: we kept only “.” at the end of sentences and removed “.” from abbreviations such as dr. The reason was the non-robustness of our sentence splitter to “.” in the middle of texts …

eGARD: Extracting associations between genomic anomalies and drug responses from text
ASMA Mahmood, S Rao, P McGarvey, C Wu… – PloS one, 2017 – journals.plos.org
… https://doi.org/10.1371/journal.pone.0189663.g001. Text preprocessing. Our system takes PMIDs as input and retrieves the title, abstract and MeSH terms from MEDLINE repository. An in-house sentence splitter was used to split the abstracts into individual sentences …

Sentiment Mining Approaches for Big Data Classification and Clustering
A Kumar, S Abirami, TE Trueman – Modern Technologies for Big …, 2017 – books.google.com
… The authors designed the proposed system in three stages. First, the knowledge preparation module is employed by filtering stage to remove noisy comments, PoS to improve the performance of stemmer, sentence splitter to separate sentences …

D1. 1: Report on Building Translation Systems for Public Health Domain
O Bojar, B Haddow, D Marecek, R Sudarikov… – 2017 – himl.eu
… We use language codes to ask for specific language version of each of the downloaded document. 3. Every downloaded PDF file is then transformed to plain text using PDFMiner.24 4. Plain texts are split into sentences using NLTK25 sentence splitter from the punkt package.26 …

Ripple down rules for question answering
DQ Nguyen, DQ Nguyen, SB Pham – Semantic Web, 2017 – content.iospress.com
… Based on Token annotations which are generated as output of the English tokenizer, sentence splitter and part-of-speech tagger in the GATE framework [11], the JAPE grammars produce NounPhrase,44 QuestionPhrase and Relation annotations, and other annotation kinds …

The Impact of Sentiment Features on the Sentiment Polarity Classification in Persian Reviews
E Asgarian, M Kahani, S Sharifi – Cognitive Computation, 2017 – Springer
Page 1. The Impact of Sentiment Features on the Sentiment Polarity Classification in Persian Reviews Ehsan Asgarian1 & Mohsen Kahani1 & Shahla Sharifi2 Received: 22 December 2016 /Accepted: 26 September 2017 © Springer Science+Business Media, LLC 2017 …

Extracting contract elements
I Chalkidis, I Androutsopoulos… – Proc. of the 16th Int. Conf …, 2017 – nlp.cs.aueb.gr
… positive test instances (eg, tokens that 7We use NLTK’s (v. 3.2.1) default tokenizer and sentence splitter (http://nltk.org/). Page 5. Extracting Contract Elements ICAIL’17, June 12–15, 2017, London, UK should be classi ed as contracting …

PaloPro: a platform for knowledge extraction from big social data and the news
N Makrynioti, A Grivas, C Sardianos… – … Journal of Big …, 2017 – inderscienceonline.com
… A similar approach is followed in other tasks. Figure 4 Online application for creating the training corpus for the sentence splitter and the tokeniser (see online version for colours) Page 9. PaloPro: a platform for knowledge extraction from big social data and the news 11 …

Device-oriented automatic semantic annotation in IoT
F Liu, P Li, D Deng – Journal of Sensors, 2017 – hindawi.com
Journal of Sensors is a peer-reviewed, Open Access journal that publishes original research and review articles related to all aspects of sensors, from the theory and design of sensing devices to the applications of sensors.

Ontology-based information extraction from learning management systems
RB Deyab – 2017 – dspace.uevora.pt
Page 1. . UNIVERSIDADE DE ÉVORA ESCOLA DE CIÊNCIAS E TECNOLOGIA DEPARTAMENTO DE INFORMÁTICA Ontology-Based Information Extraction from Learning Management Systems Rodwan Bakkar Deyab Orientação Prof. Irene Rodrigues …

FoLiA in Practice: The Infrastructure of a Linguistic Annotation Format
M van Gompela, K van der Sloota, M Reynaerta… – ubiquitypress.com
… annotation) task. It is a most essential layer to the infrastructure and consists of tools such as: •Ucto17– An advanced rule-based tokeniser and sentence-splitter for a variety of languages. Sup- ports FoLiA input and output. Can …

Using genre-specific features for patent summaries
J Codina-Filbà, N Bouayad-Agha, A Burga… – Information Processing …, 2017 – Elsevier
… The preprocessing pipeline incorporates: a part-of-speech tagger, lemmatizer and dependency parser from Bohnet’s MATE tools environment (Bohnet, 2010), GATE’s tokenizer, the Sentence Splitter from OpenNLP, and a proprietary patent-tuned NP chunker. 7 Fig …

Feature management framework for Open Source Software development projects
KG Damarasingu – 2017 – search.proquest.com
… Document Reset PR. T. ANNIE English Tokenizer. ANNIE Sentence Splitter. T. ANNIE POS Tagger. GATE Morphological Analyzer – set “ConsiderPOSTag” to “false”. ANNIE NE Transducer and specify the mypostingapproach. jape file with appropriate. JAPE grammar. T …

A scalable architecture for data-intensive natural language processing †
Z Beloki, X Artola, A Soroa – Natural Language Engineering, 2017 – cambridge.org
… 5 Table 1. IXA-Pipes English modules, including pre- and post-requisites Module Description Input (NAF layer) Output (NAF layer) TOK Tokenizer, Sentence splitter Raw text (raw) Tokens (text) POS POS tagger Tokens (text) Lemmas, POS tags (terms) …

Yleiskäyttöinen tekstinluokittelija suomenkielisille potilaskertomusteksteille
E Pursiainen – 2017 – aaltodoc.aalto.fi
… letter. A simple tokenizer like this will get approximately 95% of the sentences correct[35]. Aberdeen et al.[1] describe an advanced rule-based sentence splitter, the Alembic information extraction system in their work. Alembic’s …

Software Intensive Humanities
J Smithies – The Digital Humanities and the Digital Modern, 2017 – Springer
… attention, Annie Swafford, a digital historian in the United Kingdom, produced a post that questioned the details of Jockers’s approach and refuted his findings, noting that ‘its implementation suffers from a number of problems, including an unreliable sentence splitter …

A Heuristic-Based Approach to Automatically Extract Personalized Attack Graph Related Concepts from Vulnerability Descriptions
S Mukherjee – 2017 – dspace.library.colostate.edu
Page 1. THESIS A HEURISTIC-BASED APPROACH TO AUTOMATICALLY EXTRACT PERSONALIZED ATTACK GRAPH RELATED CONCEPTS FROM VULNERABILITY DESCRIPTIONS Submitted by Subhojeet Mukherjee Department of Computer Science …

Identifying human phenotype terms in text using a machine learning approach
MSGV Lobo – 2017 – repositorio.ul.pt
Page 1. UNIVERSIDADE DE LISBOA FACULDADE DE CIÊNCIAS DEPARTAMENTO DE INFORMÁTICA MESTRADO EM BIOINFORMÁTICA E BIOLOGIA COMPUTACIONAL ESPECIALIZAÇÃO EM BIOINFORMÁTICA Dissertação orientada por: Francisco M. Couto …

Study and development of methods for named entity recognition
K Valeria – 2017 – dspace.spbu.ru
… ??????? 7. ???????? ????????? ???????? ???????. ??????? 8. ???????? ????????? ????-?????????? ??????????? ???????? ???? «ORG» (???????????). 4. ?????? ????????? ??????????? (Sentence Splitter) ??????? Gate ??????????? ??? ????????? …

Bootstrapping the CRISP-DM Process
MT Kais – 2017 – dspace.library.uu.nl
Page 1. Bootstrapping the CRISP-DM Process MASTER THESIS By: Marcin Kais, 4289684 First supervisor: dr Marco Spruit Second supervisor: Vincent Menger Page 2. 2 Table of Contents 1 Research Plan …

A framework for an adaptable and personalised e-learning system based on free web resources
E Aeiad – 2017 – usir.salford.ac.uk
Page 1. A FRAMEWORK FOR AN ADAPTABLE AND PERSONALISED E-LEARNING SYSTEM BASED ON FREE WEB RESOURCES Eiman Aeiad Thesis Submitted in Partial Fulfilment of the Requirements of the Degree of Doctor of Philosophy …

Argumentation mining in user-generated web discourse
I Habernal, I Gurevych – Computational Linguistics, 2017 – MIT Press
Create a new account. Email. Returning user. Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions. Email. Cancel. If the address matches an existing account you will …

Automatic Text Simplification
H Saggion – Synthesis Lectures on Human Language …, 2017 – morganclaypool.com
Page 1. Automatic Text Simplification Page 2. Synthesis Lectures on Human Language Technologies Editor Graeme Hirst, University of Toronto Synthesis Lectures on Human Language Technologies is edited by Graeme Hirst of the University of Toronto …

Information retrieval and text mining technologies for chemistry
M Krallinger, O Rabal, A Lourenc?o… – Chemical …, 2017 – ACS Publications
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Emotion-based Analysis and Classification of Music Lyrics
RMS Malheiro – 2017 – estudogeral.sib.uc.pt
Page 1. Page 2. Ricardo Manuel da Silva Malheiro Emotion-based Analysis and Classification of Music Lyrics Doctoral Program in Information Science and Technology, supervised by Prof. Dr. Rui Pedro Pinto de Carvalho e Paiva and Prof …

Coreference resolution for biomedical pathway data
MJ Choi – 2017 – minerva-access.unimelb.edu.au
Page 1. Coreference Resolution for Biomedical Pathway Data Miji Jooyoung Choi School of Computing and Information Systems The University of Melbourne This thesis is submitted for the degree of Doctor of Philosophy September 2017 Page 2. Page 3. Declaration …

Semi-automated Extraction of New Product Features from Online Reviews to Support Software Product Evolution
P Volabouth – 2017 – aut.researchgateway.ac.nz
Page 1. Semi-automated Extraction of New Product Features from Online Reviews to Support Software Product Evolution A Thesis submitted to Auckland University of Technology in partial fulfilment of the requirements for the …

Deciphering clinical text: concept recognition in primary care text notes
AD Savkov – 2017 – sro.sussex.ac.uk
Page 1. A University of Sussex PhD thesis Available online via Sussex Research Online: http://sro.sussex.ac.uk/ This thesis is protected by copyright which belongs to the author. This thesis cannot be reproduced or quoted extensively from without first …

A Framework for Developing Knowledge Bases of Scientific Artefacts in the Biomedical Domain
H Hassanzadeh – espace.library.uq.edu.au
Page 1. A Framework for Developing Knowledge Bases of Scientific Artefacts in the Biomedical Domain Hamed Hassanzadeh BSc Eng, MSc Eng A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2017 …

A Question Answering System Design about the Holy Quran
BIO Hamoud – 2017 – repository.sustech.edu
Page 1. Sudan University of Science and Technology College of Graduate Studies A Question Answering System Design about the Holy Quran ????? ?????? ?????? ?? ?????? ????? ???? A thesis submitted in partial fulfillment of the requirements for the degree of …

Feature engineering for author profiling and identification: on the relevance of syntax and discourse
L Wanner – 2017 – tdx.cat
Page 1. Feature Engineering for Author Profiling and Identification: On the Relevance of Syntax and Discourse Juan Soler-Company TESI DOCTORAL UPF / ANY 2017 DIRECTOR DE LA TESI Dr. Leo Wanner DEPARTAMENT …

Common Crawled Web Corpora: Constructing corpora from large amounts of web data
KB Kristoffersen – 2017 – duo.uio.no
Page 1. Common Crawled web corpora Constructing corpora from large amounts of web data Kjetil Bugge Kristoffersen Thesis submitted for the degree of Master in Informatics: Programming and Networks (Language Technology group) 60 credits Department of Informatics …

A low-cost, high-coverage legal named entity recognizer, classifier and linker
C Cardellino, M Teruel, LA Alemany… – … of the 16th edition of the …, 2017 – dl.acm.org
Page 1. A Low-cost, High-coverage Legal Named Entity Recognizer, Classifier and Linker Cristian Cardellino University of Córdoba, Argentina crscardellino@gmail.com Milagro Teruel University of Córdoba, Argentina milagro.teruel@gmail.com …

Director skill sets
R Adams, A Akyol, P Verwijmeren – 2017 – papers.ssrn.com
Page 1. Director skill sets* Renée B. Adams1, Ali C. Akyol2, and Patrick Verwijmeren3 This version: March 31, 2017 Abstract Directors are not one-dimensional. We characterize their skill sets by exploiting Regulation S-K’s 2009 …

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