Stanford CoreNLP & Coreference Resolution 2017


Notes:

Coreference (sometimes written co-reference) occurs when two or more expressions in a text refer to the same person or thing.

  • Coreference resolver
  • Natural language analysis

Resources:

  • corenlp .. a set of natural language analysis tools
  • pkde4j .. entity and relation extraction for public knowledge discovery

Wikipedia:

References:

See also:

Apache OpenNLP & Coreference Resolution 2016


A systematic review and comparative analysis of cross-document coreference resolution methods and tools
B Benatallah, S Venugopal, SH Ryu… – Computing, 2017 – Springer
… We included “*coreference resolution” and “*co-reference resolution” in the search query to make sure that no potential study is missed … ii) entity identification the work in this category, uses ‘Entity Identification’ techniques using standard tools such as Stanford CoreNLP [69] tool …

Using coreference links to improve spanish-to-english machine translation
LM Werlen, A Popescu-Belis – … 2nd Workshop on Coreference Resolution …, 2017 – aclweb.org
… Stanford Sta- tistical Coreference Resolution system proposed by Clark and Manning (2015). Moreover, to ob- tain pairwise mention scores, needed in Section 5, we use the code of the pairwise classifier available with the source code of the Stanford CoreNLP toolkit (Manning …

Unsupervised induction of contingent event pairs from film scenes
Z Hu, E Rahimtoroghi, L Munishkina… – arXiv preprint arXiv …, 2017 – arxiv.org
… Then using the Stanford CoreNLP pipeline, we an- notate the film scene files. Annotations include tok- enization, lemmatization, named entity recognition, parsing and coreference resolution. We extract the events by keeping all tokens whose POS tags begin with VB …

Different German and English coreference resolution models for multi-domain content curation scenarios
A Srivastava, S Weber, P Bourgonje… – International Conference of …, 2017 – Springer
… In this paper, we describe our forays into developing a German coreference resolution system. We attempt to adapt the Stanford CoreNLP (Manning et al … In case of the English coreference resolution, we employ the Stanford CoreNLP implementations …

A scaffolding approach to coreference resolution integrating statistical and rule-based models
H Lee, M Surdeanu, D Jurafsky – Natural Language Engineering, 2017 – cambridge.org
… 1 A scaffolding approach to coreference resolution integrating statistical and rule-based models HEEYOUNG LEE1, MIHAI SURDEANU2 and DANJURAFSKY1 1Stanford University, Stanford, CA, USA e-mails: heeyoung@cs.stanford.edu, jurafsky@stanford.edu 2University of …

Unsupervised visual-linguistic reference resolution in instructional videos
DA Huang, JJ Lim, L Fei-Fei… – arXiv preprint arXiv …, 2017 – openaccess.thecvf.com
… The action and entity nodes here are generated au- tomatically by the Stanford CoreNLP parser [37] … This baseline seeks for the near- est preceding action that is compatible for reference resolu- tion, which is a standard heuristic in coreference resolution …

A Tidy Data Model for Natural Language Processing using cleanNLP
T Arnold – arXiv preprint arXiv:1703.09570, 2017 – arxiv.org
… The underlying natural language processing pipeline utilizes Stanford’s CoreNLP library, exposing a number of annotation tasks for … part of speech tagging, named entity recognition, entity linking, sentiment analysis, dependency parsing, coreference resolution, and information …

Error Analysis in an Automated Narrative Information Extraction Pipeline
J Valls-Vargas, J Zhu, S Ontanon – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
… integrate natural language preprocessing modules (eg, the Stanford CoreNLP [35]) in their pipelines. Basic modules used in NLP pipelines have been studied extensively, often within the context of shared task competitions (eg, Stanford’s coreference resolution system at the …

RubyStar: A Non-Task-Oriented Mixture Model Dialog System
H Liu, T Lin, H Sun, W Lin, CW Chang, T Zhong… – arXiv preprint arXiv …, 2017 – arxiv.org
… 3.7 Context Tracking Context tracking is used for coreference resolution. When a sentence from the user appears, we retrieve the most recent (with a default of five) chatting records of that user from the chat history database. The Stanford CoreNLP toolkit (Manning et al …

RAMBLE ON: Tracing Movements of Popular Historical Figures
S Menini, R Sprugnoli, G Moretti, E Bignotti… – Proceedings of the …, 2017 – aclweb.org
… Its mod- ules for Named Entity Recognition and Classifica- tion (NERC), coreference resolution and recogni- tion of time expressions are used to detect for each text: (i) mentions related to the person who is the … 2014. The Stanford CoreNLP Natural Lan- guage Processing Toolkit …

Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions
A Calderwood, E Pruett, R Ptucha, C Homan… – Proceedings of the …, 2017 – par.nsf.gov
… Coreference resolution identifies multiple refer- ences to the same individual in a given text; for example, my father, he, and dad might refer to the same individual that together form a disam- biguated coreference chain … The Stanford CoreNLP natural language pro- cessing toolkit …

Coreference Resolution Using Verbs Knowledge
H Zafari, M Hourali, H Faili – Information Systems & Telecommunication – jist.ir
… Stanford CoreNLP is an NLP package which processes the input text. It provides a set of natural language analysis, including noun phrase extractor, head finder, named entity extractor and deterministic Coreference resolution …

Impact of Coreference Resolution on Slot Filling
H Adel, H Schütze – arXiv preprint arXiv:1710.09753, 2017 – arxiv.org
… Coreference resolution systems produce acceptable results but are still far away from being perfect. In an analysis of the results of Stanford CoreNLP on the TAC source corpus in the context of our slot fill- ing system, we found the following flaws being most prominent: Wrongly …

Ontology-Based Entity Coreference Resolution For Sentiment Analysis
T Le Thi, TQ Thanh, TP Thi – … of the Eighth International Symposium on …, 2017 – dl.acm.org
… 1 from the result of Stanford CoreNLP toolkit. 2XU PRGHO RI 2%$6&RUH IRU LGHQWLI\LQJ VHQWLPHQW LQ WKH FRUHIHUHQFH RI REMHFW DVSHFW VHQWLPHQW LV JLYHQ LQ )LJ Figure 4. Coreference resolution model OBASCore …

Coreference Resolution for Swedish and German using Distant Supervision
A Wallin, P Nugues – Proceedings of the 21st Nordic Conference on …, 2017 – aclweb.org
… 4.2 Processing Pipelines We used three language-dependent processing pipelines: • We applied Stanford’s CoreNLP (Manning et al., 2014) to annotate the English part … These tasks evaluated coreference resolution systems for three languages: English, Arabic, and Chinese …

Evaluating Deep Learning Approaches for Character Identification in Multiparty Dialogues
KP Sankaranarayanan, SH Ramesh – pdfs.semanticscholar.org
… 6 Proposed Tools and Resources 1. SpaCy 5 for dependency parsing 2. Pattern 6 and Stanford CoreNLP 7 for parsing, tokenization, POS tags, chunking, PNP tags and lemmata … 3. Marco Rocha. 1999. Coreference Resolution in Dialogues in English and Portuguese …

Story Visualization via NLP and Word Clouds
M Mitri – 2017 – aisel.aisnet.org
… interactive set of word clouds. Keywords Natural language processing, dependency parsing, coreference resolution, data visualization, word clouds, Stanford CoreNLP, D3. Introduction This paper describes a software application …

Towards An Approach of Ontological Coreference Resolution for Sentiment Analysis
VTH Le Thi Thuy, MD Trung, QT Tho, PT Tuoi – ijettcs.org
… When analyzing the above text, Stanford CoreNLP toolkit [34], one of the most popular tools for natural language processing, returns the result shown in Figure 1. Here one Towards An Approach of Ontological Coreference Resolution for Sentiment Analysis …

Revisiting Selectional Preferences for Coreference Resolution
B Heinzerling, NS Moosavi, M Strube – arXiv preprint arXiv:1707.06456, 2017 – arxiv.org
… 2014. The Stanford CoreNLP natural lan- guage processing toolkit. In Proceedings of 52nd Annual Meeting of the Association for Computa- tional Linguistics: System Demonstrations, pages 55–60 … 2014. Recall error analysis for coreference resolution …

A learning method for coreference resolution using semantic role labeling features
G Veena, D Gupta, AN Daniel… – Advances in Computing …, 2017 – ieeexplore.ieee.org
… TABLE III shows a sample output. B. Algorithm Coreference Resolution Algorithm … The proposed model takes a document as input to the pre- processing module, which includes several NLP steps that can be achieved by using a Stanford CoreNLP [15] tool …

TAMU at KBP 2017: Event Nugget Detection and Coreference Resolution
PK Choubey, R Huang – arXiv preprint arXiv:1711.02162, 2017 – arxiv.org
… 4.2 Preprocessing We run Stanford coreNLP module for tokeniza- tion, sentence segmentation, lemmatization, POS tagging, dependency parsing, named entity recog- nition and coreference resolution (Manning et al., 2014; Recasens et al., 2013; Lee et al., 2011) …

The Effect of Poor Coreference Resolution on Document Understanding
M Droog-Hayes – ESSLLI 2017 Student Session – sfs.nphil.uni-tuebingen.de
… 100% 42.86% 50.00% These extrinsic results show that nearly 43% of the questions could be an- swered when using Stanford CoreNLP and 50 … The set of questions that can be answered with no coreference resolution performed is not a proper subset of those that can be cor …

Coreference Resolution Sieve Based on Answer Set Programming
APDP Schüller – peterschueller.com
… by tuning the rules for performance, which unfortunately makes the rules less maintainable and suggests future development of automatic rule-base optimization algorithms. Keywords: Coreference resolution, Sieve system, Stanford CoreNLP. vii Page 13. Page 14 …

Conversational/Multiturn Question Understanding
G Ren, M Malik, X Ni, Q Ke, N Bhide – scai.info
… systems struggle with. These challenges are as follows, with example coreference resolution results from the Stanford CoreNLP toolkit [5]. (1) Grammatically incomplete/incorrect sentences (eg for “stan- ford tuition? where is …

Improving DISCERN with Deep Learning
G Dubbin, A Bhatia, B Dorr, A Dalton, K Hollingshead… – tac.nist.gov
… rich linguistic resources (Verb- Net, CatVar, Semantic Role Labeling, NER, POS tagging, dependency parsing, and coreference resolution) and the … Documents were first stripped of XML, tok- enized, and then split into sentences using the Stanford CoreNLP Natural Language …

A Software Pipeline for the Reception of Italian Literature in Nineteenth-Century England: Preliminary Testing
S Rebora – Proceedings of the 2nd International Conference on …, 2017 – dl.acm.org
… However, in order to obtain better results, the boundaries of punctuation should be surpassed. Among the possible approaches still under evaluation, coreference resolution is the most practicable. Stanford CoreNLP offers a built-in function that shows promising results …

Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization
T Falke, CM Meyer, I Gurevych – Proceedings of the Eighth International …, 2017 – aclweb.org
… this special form of concept-specific and cross-document coreference goes beyond the capabilities of off-the-shelf coreference resolution systems, we … All source documents are preprocessed with Stan- ford CoreNLP 3.7.0 (Manning et al., 2014) to obtain tokenization, sentence …

OpenKN at TAC KBP 2016
M Li, X Chen, Y Jia, Y Wang, X Jin, Z Li, J Yao, F Yang… – tac.nist.gov
… Entity Discovery Bootstrapping- based extractor Bootstrapping- based extractor Cross-document coreference resolution Entity Linker NIL Clustering Figure 1 Architecture of the system … Secondly, a co-reference chain is generated by Stanford CoreNLP (Manning et al., 2014) …

Event Timeline Generation from History Textbooks
H Bedi, S Patil, S Hingmire, G Palshikar – … of the 4th Workshop on Natural …, 2017 – aclweb.org
… s, L = NULL) (c) Let T = the time expressions mentioned in the sentence (d) Identify relations between entities in s using OpenIE component of Stanford CoreNLP and select … R-2 Event coreference resolution Prince Salim was [sent against]E1 the Rana in 1599, but achieved little …

Graphics on demand: the automatic data visualization on the WEB
R Guetari, M Mallek – astesj.com
… open source frameworks: • Stanford CoreNLP [26], a Java open source framework created by Stanford University, that implements most of the common core natural language processing (NLP) steps needed in our approach, from tokenization through to coreference resolution …

Coreference resolution for biomedical pathway data
MJ Choi – 2017 – minerva-access.unimelb.edu.au
… 89 3.13 Comparison of controlling NER modules in Stanford system … 108 Page 19. List of tables xix 4.5 Performance of coreference resolution systems on 66 documents. . . . . 109 … CoreNLP system, comparing to the CRAFT Coreference annotations. . . . 110 …

TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction
M Al-Badrashiny, J Bolton, AT Chaganty, K Clark… – nlp.cs.rpi.edu
… Nominal and Pronominal Mention Extrac- tion: we utilize a deep neural networks based entity coreference resolution system (Clark and Manning, 2016) in Stanford CoreNLP toolkit (Manning et al., 2014) to extract nominal and pronominal mentions …

RPI BLENDER TAC-KBP2017 13 Languages EDL System
B Zhang, X Pan, Y Lin, T Zhang, K Blissett, S Kazemi… – pdfs.semanticscholar.org
… Nominal and Pronominal Mention Extrac- tion: we utilize a deep neural networks based entity coreference resolution system (Clark and Manning, 2016) in Stanford CoreNLP toolkit (Manning et al., 2014) to extract nominal and pronominal mentions. 2.2 Name Translation …

Evaluating Deep Learning Approaches for Character Identification in Multiparty Dialogues Final Paper: CS585
SH Ramesh, KP Sankarayananan – pdfs.semanticscholar.org
… in (Chen et al., 2017) and compare it against the out-of-the-box coref systems available at Stanford CoreNLP (Manning et al … The overall task of character identification in a multiparty discourse setting, could be divided into two sub-tasks – coreference resolution and entity linking …

Coreference resolution with and for Wikipedia
A Ghaddar – 2017 – papyrus.bib.umontreal.ca
Université de Montréal Coreference Resolution with and for Wikipedia par Abbas Ghaddar … ABSTRACT Wikipedia is a resource of choice exploited in many NLP applications, yet we are not aware of recent attempts to adapt coreference resolution to this resource, a prelim …

Joint Learning for Event Coreference Resolution
J Lu, V Ng – Proceedings of the 55th Annual Meeting of the …, 2017 – aclweb.org
… Table 1: Event coreference resolution example … with verb triggers, we use the head words and the entity types of their subjects and objects as fea- tures, where the subjects and objects are extracted from the dependency parse trees obtained using Stanford CoreNLP (Manning et …

Open Relation Extraction and Grounding
D Yu, L Huang, H Ji – Proceedings of the Eighth International Joint …, 2017 – aclweb.org
… document coreference resolution. We apply Stanford CoreNLP (Manning et al., 2014) for English part-of-speech tagging, name tagging, time expression extraction, dependency parsing, and coreference resolution. We use the …

Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging
Y Chali, M Tanvee, MT Nayeem – Proceedings of the Eighth …, 2017 – aclweb.org
… Our system first applies Stanford Coreference Resolution engine (Lee et al., 2013) on each sen- tence of a document … pre- processing on all the documents such as tokeniza- tion, part-of-speech tagging and document coref- erence resolution using Stanford CoreNLP (Man- ning …

Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter
A Rozental, D Fleischer – arXiv preprint arXiv:1705.01306, 2017 – arxiv.org
… Page 3. • Containing negation, quotations or perfect progressive forms. For this purpose, we used the Stanford determinis- tic coreference resolution system (Lee et al., 2011; Recasens et al., 2013) … 2014. The Stanford CoreNLP natural language processing toolkit …

Linking Event Mentions from Cricket Match Reports to
M Gupta – ceur-ws.org
… When a user selects a mention, the mention and its paragraph are processed by performing linguis- tic analysis like part-of-speech tagging, named entity resolution, coreference resolution on the paragraph, and sentiment analysis, using Stanford CoreNLP [18] …

A Computational Model of Human Preferences for Pronoun Resolution
O Seminck, P Amsili – Proceedings of the Student Research Workshop at …, 2017 – aclweb.org
… Our results are difficult to com- pare against state-of-the-art work in coreference resolution, because we concentrate on third per- son personal … For the syntactic annotation we first ran the Stanford Parser (Klein and Manning, 2003) and then corrected the parses manually …

Cross-Document Event Ordering through Temporal Relation Inference and Distributional Semantic Models
E Saquete Boró, B Navarro Colorado – 2017 – rua.ua.es
… China. Lee, H., M. Recasens, A. Chang, M. Surdeanu, and D. Jurafsky. 2012. Joint entity and event coreference resolution across documents. In … McClosky. 2014. The Stanford CoreNLP natural language process- ing toolkit. In …

Recent Developments within BulTreeBank
P Osenova, K Simov – Proceedings of the 16th International Workshop on …, 2017 – aclweb.org
… The RTC was annotated with POS tags and parsed with Stanford CoreNLP pipeline — (Manning et al., 2014) … There are many possible applications of such embeddings such as in the coreference resolution task where embeddings for the used pronouns are provided, also in …

Rule-Based Spanish Morphological Analyzer Built From Spell Checking Lexicon
N Ahn – arXiv preprint arXiv:1707.07331, 2017 – arxiv.org
… As mentioned above, the Stanford CoreNLP toolkit now provides Spanish language models for its most popular tools, including its part of … The tags do not distinguish speaker per- son or number, nor does CoreNLP provide Span- ish coreference resolution or gender and …

Cross-Document Event Ordering through Temporal Relation Inference and Distributional Semantic Models
E Saquete, B Navarro-Colorado – Procesamiento del Lenguaje …, 2017 – journal.sepln.org
… China. Lee, H., M. Recasens, A. Chang, M. Surdeanu, and D. Jurafsky. 2012. Joint entity and event coreference resolution across documents. In … McClosky. 2014. The Stanford CoreNLP natural language process- ing toolkit. In …

Agent-based solution for improving abstracts
AMTB Adhikari – 2017 – dl.lib.mrt.ac.lk
… agents. The Stanford CoreNLP Natural Language Processing Toolkit has been used to develop parser and JADE has been used for development of the entire multi agent system … 24 2.4.2 Coreference resolution ….. 24 …

Keywords Extraction from Crime Information Using Miscellaneous Data Sources
D Chaudhari, V Malvadkar, S Jadhav, A Pandit – ijrest.net
… report. It uses libraries such as Stanford CoreNLP, Annotation … Annotations: Annotations Pattern language is used for pattern matching and to add annotations to the matched patterns. Coreference Resolution: Deterministic Coreference (dCoref) …

How do pronouns affect word embedding
T Chung, B Xu, Y Liu, J Li… – Tsinghua Science and …, 2017 – ieeexplore.ieee.org
… The process of generating the co-reference resolved context is as follows: use the Stanford CoreNLP System (http://nlp.stanford.edu/software/corenlp.shtml) to … We ignore all errors that are generated by the Stanford CoreNLP toolkit and allow them to propagate to the next step …

The GUM corpus: creating multilayer resources in the classroom
A Zeldes – Language Resources and Evaluation, 2017 – Springer
… The Stanford Parser version used for this data (3.4) has an unlabeled constituent parsing accuracy of … get a rough idea of how annotators compare with state-of-the-art NLP on coreference resolution, one document was annotated using CoreNLP’s deterministic ‘dcoref …

Deep Reading and Learning
P Tadepalli, X Fern, T Dietterich – 2017 – dtic.mil
… Lee, H. Peirsman, Y. Chang, A., Chambers, N., Surdeanu, M. and Jurafsky, D. “Stanford’s Multi-pass Sieve Coreference Resolution System,” at the CONLL-2011 Shared Task. CONLL Shared Task 11, pages 2834, Stroudsburg, PA, USA …

A Two-stage Sieve Approach for Quote Attribution
G Muzny, M Fang, A Chang, D Jurafsky – … of the 15th Conference of the …, 2017 – aclweb.org
… Sieve-based systems have been shown to work well for tasks like coreference resolution (Raghunathan et al., 2010; Lee et al., 2013 … We use the enhanced dependency parses (Schuster and Man- ning, 2016) produced by Stanford CoreNLP (Chen and Manning, 2014) to extract …

Combining Search with Structured Data to Create a More Engaging User Experience in Open Domain Dialogue
KK Bowden, S Oraby, J Wu, A Misra… – arXiv preprint arXiv …, 2017 – arxiv.org
… To find content to instantiate the expansion relation to use in Slugbot’s next turn (taking the initiative), we carry out the following pipeline: (1) Perform coreference resolution on the user’s turn (2) Identify relevant entities … The Stanford CoreNLP natural language process- ing toolkit …

Adversarial examples for evaluating reading comprehension systems
R Jia, P Liang – arXiv preprint arXiv:1707.07328, 2017 – arxiv.org
… Figure 2: An illustration of the ADDSENT and ADDANY adversaries. of 26 types, corresponding to NER and POS tags from Stanford CoreNLP (Manning et al., 2014), plus a few custom categories (eg, abbreviations), and manually associate a fake answer with each type …

Deliverable# 4
A Spivey, E Miller, M Haeger, M Koukoutchos – 2017 – courses.washington.edu
… teams only discovered the wreckage early Tuesday. Page 8. Content Realization ? Co-reference Resolution/Replacement (Stanford CoreNLP) ? Bugs with implementation ? Really bad coreferences (example below) Original …

Linguistic Knowledge as Memory for Recurrent Neural Networks
B Dhingra, Z Yang, WW Cohen… – arXiv preprint arXiv …, 2017 – arxiv.org
… One of these processes is coreference resolution, where the reader must identify expressions in text referring to the same entity (see red edges in Figures 1, 3). Chu et al. (2016) show that existing state-of-the art models have poor Page 5 …

Argument Relation Classification Using a Joint Inference Model
Y Hou, C Jochim – Proceedings of the 4th Workshop on Argument Mining, 2017 – aclweb.org
… 2014. The stanford corenlp natural language pro- cessing toolkit. In Proceedings of the ACL 2014 Sys- tem Demonstrations, Baltimore, USA, 22–27 June 2014, pages 55–50. Stefano Menini and Sara Tonelli … 2008. Joint unsu- pervised coreference resolution with Markov Logic …

Towards Improving the Performance of Chat Oriented Dialogue System
R Jiang, RE Banchs – 2017 – oar.a-star.edu.sg
… We use Stanford CoreNLP natural … language processing toolkit to generate the constituency- based parse tree and the dependency-based parse tree [8]. Together with the information from CoreNLP toolkit such as the POS tags, the coreference resolution, and named entity …

Multi-domain evaluation framework for named entity recognition tools
ZS Abdallah, M Carman, G Haffari – Computer Speech & Language, 2017 – Elsevier
… 2. The process of coreference resolution requires contextual understanding of the text to decide whether ‘His’ in Fig … Stanford NER is part of the Stanford CoreNLP which is an integrated suite of natural language processing tools for English, Spanish, and (mainland) Chinese in …

All that glitters is not gold–rule-based curation of reference datasets for named entity recognition and entity linking
K Jha, M Röder, ACN Ngomo – European Semantic Web Conference, 2017 – Springer
… Lee, H., Peirsman, Y., Chang, A., Chambers, N., Surdeanu, M., Jurafsky, D.: Stanford’s multi-pass sieve coreference resolution system at the … Manning, CD, Surdeanu, M., Bauer, J., Finkel, J., Bethard, SJ, McClosky, D.: The Stanford CoreNLP natural language processing toolkit …

BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages
B Heinzerling, M Strube – arXiv preprint arXiv:1710.02187, 2017 – arxiv.org
… is a common method for representing mentions in tasks such as entity typing (Shimaoka et al., 2017) or coreference resolution (Clark and … 7Tokenization for Chinese was performed with Stanford CoreNLP (Manning et al., 2014) and for Japanese with Kuromoji (https://github.com …

The Opinion Mining Architecture OMA
K Schnattinger, H Walterscheid – researchgate.net
… OpenNLP are limited on English, but training APIs to train other languages are provided. CoreNLP4 Stanford CoreNLP is a framework which also supports POS tagging, named entity recognition, parsing, and coreference resolution (Manning et al. 2014), (Reese 2015). It also …

Edina: Building an Open Domain Socialbot with Self-dialogues
B Krause, M Damonte, M Dobre, D Duma… – arXiv preprint arXiv …, 2017 – arxiv.org
… Remaining preprocessing is performed in parallel, comprising another NER, coreference resolution and simple user-modeling … annotation (COREF) over the previous four turns (ie 2 turns each from the user and the bot), using Stanford CoreNLP deterministic implementation …

AppTechMiner: Mining Applications and Techniques from Scientific Articles
M Singh, S Dan, S Agarwal, P Goyal… – Proceedings of the 6th …, 2017 – dl.acm.org
… tion, Semantic Role Labeling, Information Retrieval, Entity Recog- nition, Word Alignment, Conditional Random Fields, Maximum Entropy, Coreference Resolution, Machine Learning … For instance, the paper introducing the Stanford CoreNLP toolkit is one such relevant example …

Question Generation for Language Learning: From ensuring texts are read to supporting learning
M Chinkina, D Meurers – Proceedings of the 12th Workshop on …, 2017 – aclweb.org
… We use the Java implementation of Stanford CoreNLP 3.7.0 for part-of-speech tagging, pars- ing, and resolving coreferences (Manning et al., 2014) … In questions to subjects and objects, coreference resolution was originally used to determine the question word, Who or What …

TEXT MINING FOR RELATIONSHIP EXTRACTION
M HOFMANN – pdfs.semanticscholar.org
… If at least one of the entities participating in the relationship is not a noun, we attempt to resolve this instance to a noun. For this purpose, we use the statistical coreference resolution system contained in Stanford CoreNLP as described by Clark and Manning (2015) …

Machine Translation of Speech-Like Texts: Strategies for the Inclusion of Context
R Bawden – … jeunes Chercheurs en Informatique pour le …, 2017 – hal.archives-ouvertes.fr
… As source-side information, we used automatic PoS-tagging, dependency parsing and coreference resolution annotations, provided by the Stanford toolkit (Manning et al., 2014) … We chose to explicitly perform coreference resolution, using the Stanford toolkit …

Query-driven on-the-fly knowledge base construction
DB Nguyen, A Abujabal, NK Tran, M Theobald… – Proceedings of the …, 2017 – dl.acm.org
… corpus (C) and the input documents (D) are pre-processed by a pipeline of linguistic tools, consisting of tokenization, part-of-speech (POS) tag- ging, noun-phrase chunking and named-entity recognition (NER), all of which are performed by the Stanford CoreNLP toolkit [34] …

Using Text Comprehension Model for Learning Concepts, Context, and Topic of Web Content
I Ali, N Al Madi, A Melton – Semantic Computing (ICSC), 2017 …, 2017 – ieeexplore.ieee.org
… [7] CD Manning, M. Surdeanu, J. Bauer, JR Finkel, S. Bethard, and D. McClosky, “The stanford corenlp natural language … [9] H. Lee, Y. Peirsman, A. Chang, N. Chambers, M. Surdeanu, and D. Ju- rafsky, “Stanford’s multi-pass sieve coreference resolution system at the conll …

Cross-lingual Flames Detection in News Discussions
J Steinberger, T Brychc?n, T Hercig, P Krejzl – Proceedings of the …, 2017 – acl-bg.org
… 2014. The Stanford CoreNLP natural lan- guage processing toolkit. In Association for Compu- tational Linguistics (ACL) System Demonstrations. pages 55–60 … 2011a. Highly multilingual coreference resolution exploiting a mature entity repository …

Summarizing Dialogic Arguments from Social Media
A Misra, S Oraby, S Tandon, P Anand… – arXiv preprint arXiv …, 2017 – arxiv.org
… Coref: In the hope that coreference resolution would help ground utterance semantics, we re- placed anaphoric words with their most represen- tative mention obtained using Stanford corefer- ence chain resolution (Manning et al., 2014). 2.4 Machine Learning Models …

Using Semantic Linking to Understand Persons’ Networks extracted from Text
AP Aprosio, S Tonelli, S Menini… – Frontiers in Digital …, 2017 – pdfs.semanticscholar.org
… suite (Corcoglioniti et al., 2016): it first launches the Stanford Named Entity Recognizer (Finkel et al., 2005) to identify persons’ mentions in the documents (eg, “JF Kennedy,” “Lady Gaga,” etc.), and then the Stanford Deterministic Coreference Resolution System (Manning et al …

A review of natural language processing techniques for opinion mining systems
S Sun, C Luo, J Chen – Information Fusion, 2017 – Elsevier
Skip to main content …

Extracting Business Process Models Using Natural Language Processing (NLP) Techniques
K Sintoris, K Vergidis – … (CBI), 2017 IEEE 19th Conference on, 2017 – ieeexplore.ieee.org
… room for improvement. The third fact is that CoreNLP offers the state- of-the-art Stanford Coreference Resolution system. Therefore it is reasonable to test if it can offer any significant improvement to the final result. 138 Page 5 …

The UAB Informatics Institute and 2016 CEGS N-GRID de-identification shared task challenge
DDA Bui, M Wyatt, JJ Cimino – Journal of biomedical informatics, 2017 – Elsevier
… (Eds.), A Multi-Pass Sieve for Coreference Resolution, Proceedings of … and Analysis of Spatial Data Structures. Addison-Wesley Reading, MA (1990). [26] CD Manning, M. Surdeanu, J. Bauer, JR Finkel, S. Bethard, D. McClosky (Eds.), The Stanford CoreNLP Natural Language …

A neural joint model for entity and relation extraction from biomedical text
F Li, M Zhang, G Fu, D Ji – BMC bioinformatics, 2017 – bmcbioinformatics.biomedcentral …
Skip to content Advertisement …

The context of multiple in-text references and their signification
M Bertin, I Atanassova – International Journal on Digital Libraries, 2017 – Springer
… Fig. 2 Types of in-text references 3.5 Categorization and natural language processing approaches For the natural language processing (NLP) of MIR context analysis, we use the Stanford CoreNLP, which is a suite of core NLP tools [19] …

Action Languages and Question Answering
Y Lierler, D Inclezan, M Gelfond – IWCS 2017—12th International …, 2017 – aclweb.org
… Also, named entity recognition and coreference resolution components of CORENLP perform better than BOXER … Page 10. Manning, CD, M. Surdeanu, J. Bauer, J. Finkel, SJ Bethard, and D. McClosky (2014). Stanford CoreNLP a suite of core NLP tools …

Position-aware Attention and Supervised Data Improve Slot Filling
Y Zhang, V Zhong, D Chen, G Angeli… – Proceedings of the 2017 …, 2017 – aclweb.org
… Multi-channel augmentation. Instead of using only word vectors as input to the network, we augment the input with part-of-speech (POS) and named entity recognition (NER) embeddings. We run Stanford CoreNLP (Manning et al., 2014) to obtain the POS and NER annotations …

Distant Supervision for French Relation Extraction
M CAVDAR, X Tannier, B Grau – researchgate.net
… Relation Extraction (RE) is one of task type of Information Extraction like Named Entity Recognition, Coreference Resolution and Event Extraction … 1. CoreNLP :https://stanfordnlp.github.io/CoreNLP/ 2. CRF-NER :https://nlp.stanford.edu/software/CRF-NER.shtml 3 …

Generating flexible proper name references in text: Data, models and evaluation
TC Ferreira, E Krahmer, S Wubben – … of the 15th Conference of the …, 2017 – aclweb.org
… On all selected webpages, part-of-speech tagging, lemmatization, named entity recognition, depen- dency parsing, syntactic parsing, sentiment anal- ysis and coreference resolution was performed by using the Stanford CoreNLP software (Manning et al., 2014) …

Natural Language Understanding (NLU, not NLP) in Cognitive Systems.
M McShane – AI Magazine, 2017 – search.ebscohost.com
Page 1. Mainstream natural language processing (NLP) of the past 25 years has concentrated on the manipulation of text strings within the empir- ical — so-called knowledge-lean — paradigm, in which sophisticated statistical …

Chinese Zero Pronoun Resolution: A Chain to Chain Approach
K Fang, Z Guodong – National CCF Conference on Natural Language …, 2017 – Springer
… iterations). For end-to-end performance, automatic common NP coreference chains are achieved using the Stanford Deterministic Coreference Resolution System 4 with the default Chinese models (ie without additional training) …

Latent syntactic structure-based sentiment analysis
V Hangya, Z Szántó, R Farkas – Computational Intelligence and …, 2017 – ieeexplore.ieee.org
… and J. Kuhn, “Learning structured perceptrons for coreference resolution with latent antecedents and non-local features,” in Proc. ACL, 2014, pp. 47–57. [15] CD Manning, M. Surdeanu, J. Bauer, J. Finkel, SJ Bethard, and D. McClosky, “The Stanford CoreNLP natural language …

Assigning factuality values to semantic relations extracted from biomedical research literature
H Kilicoglu, G Rosemblat, TC Rindflesch – PloS one, 2017 – journals.plos.org
… Predication composition also relies on lexical information (tokens, lemmas, part-of-speech) and syntactic dependencies provided by the Stanford CoreNLP toolkit [35]. The collapsed format of dependency relations is used. In …

Semantic web machine reading with FRED
A Gangemi, V Presutti, D Reforgiato Recupero… – Semantic …, 2017 – content.iospress.com
… and semantic role labelling (based on VerbNet [27] and FrameNet [4]), identification of relations between frames, named entity recognition (NER) and coreference resolution (CRR … For this reason FRED also integrates CoreNLP99 as an additional component for this specific task …

From Natural Language to Argumentation and Cognitive Systems
T Mitsikas, N Spanoudakis, P Stefaneas, A Kakas – ceur-ws.org
… Language analysis includes coreference resolution, ie determining possible expressions that refer to the same person, object or thing. At the current stage of implementation, those are performed by Stanford NLP, but any other software that outputs CoNNL-U data can be used …

Cross-sentence n-ary relation extraction with graph lstms
N Peng, H Poon, C Quirk, K Toutanova… – arXiv preprint arXiv …, 2017 – arxiv.org
… articles. We conducted tokenization, part-of-speech tag- ging, and syntactic parsing using SPLAT (Quirk et al., 2012), and obtained Stanford dependencies (de Marneffe et al., 2006) using Stanford CoreNLP (Man- ning et al., 2014) …

Emersonbot: Information-Focused Conversational AI Emory University at the Alexa Prize 2017 Challenge
Z Wang, A Ahmadvand, JI Choi, P Karisani, E Agichtein – pdfs.semanticscholar.org
… [4] Manning, CD, Surdeanu, M., Bauer, J., Finkel, JR, Bethard, S., & McClosky, D. (2014, June). The stanford corenlp natural language processing toolkit. In ACL (System Demonstrations) (pp … Deterministic coreference resolution based on entity-centric, precision-ranked rules …

From Conditional Random Field (CRF) to Rhetorical Structure Theory (RST): Incorporating Context Information in Sentiment Analysis
A Vlachostergiou, G Marandianos, S Kollias – European Semantic Web …, 2017 – Springer
… We did some preprocessing tasks on the original data, including tokenization and sentence splitting, part-of-speech (POS) tagging, lemmatization, NER, parsing, and coreference resolution based on the Stanford CoreNLP annotation pipeline framework [21] …

WEB PERSON NAME DISAMBIGUATION USING SOCIAL LINKS AND ENRICHED PROFILE INFORMATION
H Emami, H Shirazi, AA Barforoush – researchgate.net
… Next, Fig. 1. Outline of our name disambiguation approach for the co-reference chain of interest within each document, we use the Stanford CoreNLP toolkit2 [31] to extract all the sentences from a document. The content on …

Automated essay evaluation with semantic analysis
K Zupanc, Z Bosni? – Knowledge-Based Systems, 2017 – Elsevier
Skip to main content …

READING COMPREHENSION SYSTEM–A REVIEW
KM ARIVUCHELVAN, K LAKAHMI – Indian J. Sci. Res, 2017 – ijsr.in
… Preprocessing are done through all standard NLP tools such as sentence splitting (OpenNLP), tokenization (Stanford CoreNLP), PoS Tagging and stemming (TreeTagger) synonym extraction … It is based on text similarity measures, textual entailment and coreference resolution …

Tools for educational data mining: A review
S Slater, S Joksimovi?, V Kovanovic… – … of Educational and …, 2017 – journals.sagepub.com
In recent years, a wide array of tools have emerged for the purposes of conducting educational data mining (EDM) and/or learning analytics (LA) research. In thi…

Aligning textual and graphical descriptions of processes through ILP techniques
J Sànchez-Ferreres, J Carmona, L Padró – International Conference on …, 2017 – Springer
… This is because the coreference resolution module detected that pronoun he in this sentence is referring to the actor customer mentioned … Google Scholar. 4. Manning, CD, Surdeanu, M., Bauer, J., Finkel, J., Bethard, SJ, McClosky, D.: The stanford CoreNLP natural language …

Important keywords extraction from documents using semantic analysis
HM Hasan, F Sanyal – 2017 – dspace.bracu.ac.bd
… coreference resolution system and more. Figure 3.1 Coreference ? Natural Language Toolkit (NLTK): A Python library that provides modules for processing text, classifying, tokenizing, stemming, tagging, parsing, and more. Page 23. 10 ? Stanford CoreNLP: A suite of NLP tools …

A third road to the past? Historical scholarship in the age of big data
R Franzosi – Historical Methods: A Journal of Quantitative and …, 2017 – Taylor & Francis

Recognition of Sarcasm in Microblogging Based on Sentiment Analysis and Coherence Identification
P Tungthamthiti, K Shirai, M Mohd – Information and Media …, 2017 – jstage.jst.go.jp
… However, their method mainly focused on coreference resolution, rather than on the identification of coherent relationships … 1 We used LIBLINEAR (https://www.csie.ntu.edu.tw/˜cjlin/liblinear/) with default parameters. 2 http://nlp.stanford.edu/software/corenlp.shtml Page 6 …

Role Semantics for Better Models of Implicit Discourse Relations
M Roth – IWCS 2017—12th International Conference on …, 2017 – aclweb.org
… Coreference. Set of features that indicate coreferring mentions, as predicted by Stanford CoreNLP (Lee et al., 2013), across two related discourse segments (see Rutherford and Xue, 2014). ca … Deterministic coreference resolution based on entity-centric, precision-ranked rules …

A Neural Joint Model for Extracting Bacteria and Their Locations
F Li, M Zhang, G Fu, D Ji – … -Asia Conference on Knowledge Discovery and …, 2017 – Springer
… Manning, CD, Surdeanu, M., Bauer, J., Finkel, J., Bethard, SJ, McClosky, D.: The Stanford coreNLP natural language processing toolkit … Nguyen, N., Tsuruoka, Y.: Extracting bacteria biotopes with semi-supervised named entity recognition and coreference resolution …

Towards an Automatic Enrichment of Semantic Web Services Descriptions
ML Mouhoub, D Grigori, M Manouvrier – OTM Confederated International …, 2017 – Springer
… We use the latter work as a part of the Stanford CoreNLP toolkit for dependency parsing … It is mainly because of a recurrent pattern of text descriptions like “This service returns …” and because of the usage of pronouns that should be dealt with using Coreference resolution …

Dropped personal pronoun recovery in Chinese SMS
C Giannella, R Winder, S Petersen – Natural Language Engineering, 2017 – cambridge.org
… When the Stanford (UMAC) segmenter was used, 20 (333) out of 2,796 training messages were ignored. Application procedure: Given a new Chinese SMS, do the following … The first was the Stanford Chinese word segmenter7 version 1.6.7 using the ‘ctb’ model (Manning et al …

Identifying human phenotype terms in text using a machine learning approach
MSGV Lobo – 2017 – repositorio.ul.pt
… O PLN tem várias aplicações, entre as quais podemos encontrar: coreference resolution, tradução automática, Reconhecimento de Entidades Mencionadas (REM … Este sistema usa o Stanford CoreNLP em conjunto com CRFs, sob a forma de StanfordNER e CRFSuite, de modo …

Aligning Entity Names with Online Aliases on Twitter
K McKelvey, P Goutzounis, S da Cruz… – Proceedings of the Fifth …, 2017 – aclweb.org
… These range from basic language tasks like coreference resolution to broader aggregation applications like sentiment analysis and information extraction … We used the Stanford CoreNLP toolkit 1 for implementations of the models using the software’s default parameters …

Entity Linking for Queries by Searching Wikipedia Sentences
C Tan, F Wei, P Ren, W Lv, M Zhou – arXiv preprint arXiv:1704.02788, 2017 – arxiv.org
… Moreover, pronouns are widely used in Wikipedia sentences and are usually not anno- tated. We use the Stanford CoreNLP toolkit (Man- ning et al., 2014) to do the coreference resolution. In addition, we use the content in the disambigua- tion page and the infobox …

Using soft-hard fusion for misinformation detection and pattern of life analysis in OSINT
G Levchuk, C Shabarekh – Next-Generation Analyst V, 2017 – spiedigitallibrary.org
… entity or groups of entities. In our work, we have used Stanford Core NLP [39] and its annotators for obtaining named entities, part of speech (POS) tags, typed relations, and semantic network. We then apply the aggregation …

JOINT PROBABILISTIC REASONING ABOUT COREFERENCE AND RELATIONS OF UNIVERSAL SCHEMA
A McCallum, N Monath – 2017 – dtic.mil
Page 1. JOINT PROBABILISTIC REASONING ABOUT COREFERENCE AND RELATIONS OF UNIVERSAL SCHEMA UNIVERSITY OF MASSACHUSETTS AMHERST OCTOBER 2017 FINAL TECHNICAL REPORT APPROVED …

Event Extraction for Document-Level Structured Summarization
A Hsi – 2017 – cs.cmu.edu
Page 1. June 28, 2017 DRAFT Event Extraction for Document-Level Structured Summarization Andrew Hsi June 2017 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Thesis Committee: Yiming …

Context incorporation using context—aware language features
A Vlachostergiou, G Marandianos… – … (EUSIPCO), 2017 25th …, 2017 – ieeexplore.ieee.org
… respectively. Finally, the preprocessing we apply, includes tokenization and sentence splitting, part-of-speech (POS) tagging, lemmatization, NER, parsing, and coreference resolution based on the Stanford CoreNLP framework [28] …

Towards the Implementation of an Intelligent Software Agent for the Elderly
AHF Dinevari – 2017 – era.library.ualberta.ca
… 87 v Page 6. List of Tables 3.1 Classifiers performance with different feature combinations . . 40 4.1 Added entities to Stanford RegexNER … 24 4.1 An example of a triple extracted by Stanford Open IE . . . . 49 4.2 NER output for sentences with age mention …

Towards Document-Level Neural Machine Translation
L Miculicich Werlen – 2017 – infoscience.epfl.ch
… 1 Data from AnCora-ES corpus (Recasens and Martí, 2010) 2 Stanford Coreference Resolution system (Manning et al., 2014) 7 Page 11. EDEE – Thesis proposal Metric Translation Recall Prec. F1 MUC Human 31 46 37 Commercial NMT 21 38 28 Baseline PSMT 18 33 23 …

A scalable architecture for data-intensive natural language processing †
Z Beloki, X Artola, A Soroa – Natural Language Engineering, 2017 – cambridge.org
… Complex NLP applications require basic linguistic processing modules (Part of Speech (POS) tagging, Named Entity Recognition and Classification (NERC), syntactic parsing, coreference resolution, etc.) to be able to further undertake more complex tasks …

Improving scalability of inductive logic programming via pruning and best-effort optimisation
M Kazmi, P Schüller, Y Sayg?n – Expert Systems with Applications, 2017 – Elsevier
… we aim to apply ILP to Natural Language Processing (NLP) applications such as Machine Translation, Summarization, Coreference Resolution, or Parsing … We describe a framework for chunking with ILP, based on preprocessing with Stanford Core NLP (Manning et al., 2014 …

Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures
S Evert, P Heinrich, K Henselmann… – Workshop on Logic …, 2017 – diva-portal.org
… analyzed using various off-the-shelf natural language processing techniques, including part-of-speech tagging, morphological analy- sis, named entity recognition, syntactic parsing, coreference resolution and word sense disambiguation. The Stanford CoreNLP suite (Manning …

Constructing Sentences from Text Fragments: Aggregation in Text-to-text Generation
V Chenal – 2017 – digitool.library.mcgill.ca
… The constituent tree was converted into a dependency tree using the Stanford CoreNLP framework (Manning et al. 2014) … into dependency trees using the Stanford CoreNLP framework (Manning et al. 2014) (see Chapter 4). 3.2 SENTENCE COMPRESSION …

The portability of three types of text mining techniques into the patent text genre
L Andersson, A Hanbury, A Rauber – Current Challenges in Patent …, 2017 – Springer
… 9.5, the Stanford CoreNLP11 generates incorrect readings for all three technical terms bus slot card, blood cell count and infrared radiation drying. The main noun compound in bus slot card is slot card and bus is a so-called left expansion (L-Exp) modifier [61] …

Pronominal anaphora and verbal tenses in machine translation
S Loaiciga Sanchez – 2017 – archive-ouverte.unige.ch
… pour tenir compte de toutes les traductions non-pronominales. À l’aide de la boîte à out- ils Stanford Maximum Entropy (Manning and Klein 2003), cette approche nous a permis … CONTENTS CONTENTS 2.2.2 Development of anaphora and coreference resolution systems . 45 …

A semantic approach to cross-document person profiling in Web
H Emami, H Shirazi… – AI …, 2017 – content.iospress.com
… The mentions in every co-reference chain of interest are then replaced with their corresponding representative mentions. Next, for the co-reference chain of interest within each document, we use the Stanford CoreNLP toolkit22 [48] to extract all the sentences from a document …

Propositional Knowledge: Acquisition and Application to Syntactic and Semantic Parsing
B Cabaleiro Barciela – 2017 – e-spacio.uned.es
Page 1. Thesis for the Degree of Doctor of Philosophy 2017 Propositional Knowledge: Acquisition and Application to Syntactic and Semantic Parsing Bernardo Cabaleiro Barciela University Master’s Degree in Languages and Computer Systems (National Distance Education …

Assessing the Verifiability of Attributions in News Text
E Newell, A Schang, D Margolin, D Ruths – Proceedings of the Eighth …, 2017 – aclweb.org
… useful context is likely to be how the source was first introduced in the article, eg whether the source’s name and affiliation were given. To bring that context into the attribution, we used the CoreNLP coreference resolution software (Man- ning et al., 2014) to augment the source …

A framework for an adaptable and personalised e-learning system based on free web resources
E Aeiad – 2017 – usir.salford.ac.uk
… 16 2.1.2.4 Stanford CoreNLP ….. 17 … 77 Figure 4-13 Stanford CoreNLP ….. 78 Figure 4-14 XML format generated by Stanford CoreNLP….. 79 …

Joint models for information and knowledge extraction
DB Nguyen – 2017 – publikationen.sulb.uni-saarland.de
… models (Kulkarni et al., 2009). To mark up mentions, these methods use the Stanford NER Tag- ger (Finkel et al., 2005) or dictionary-based matching. 2.2.2 Entity Repository and Name-Entity Dictionary We harness a knowledge …

Automated assessment of non-native learner essays: Investigating the role of linguistic features
S Vajjala – International Journal of Artificial Intelligence in …, 2017 – Springer
… described below are obtained from the Page 8. Int J Artif Intell Educ Stanford Parser (Socher et al. 2013) and the Stanford CoreNLP package (Manning et al. 2014).2 Word Level Features This group of five features consists of …

Advances in Statistical Script Learning
K Erk – cs.utexas.edu
… about relations expressed in the text. Coreference resolution systems, semantic role … syntactic analysis. Finally, motivated by this result, we investigate incorporating features de- rived from these models into a baseline noun coreference resolution system. We …

Cross-lingual name tagging and linking for 282 languages
X Pan, B Zhang, J May, J Nothman, K Knight… – Proceedings of the 55th …, 2017 – aclweb.org
Page 1. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, pages 1946–1958 Vancouver, Canada, July 30 – August 4, 2017. c 2017 Association for Computational Linguistics https://doi.org/10.18653/v1/P17-1178 …

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…

Advances in statistical script learning
K Pichotta – 2017 – repositories.lib.utexas.edu
… about relations expressed in the text. Coreference resolution systems, semantic role … syntactic analysis. Finally, motivated by this result, we investigate incorporating features de- rived from these models into a baseline noun coreference resolution system. We …

On automating basic data curation tasks
SMR Beheshti, A Tabebordbar, B Benatallah… – Proceedings of the 26th …, 2017 – dl.acm.org
… 2016c. A systematic review and comparative analysis of cross-document coreference resolution methods and tools. Computing (2016), 1–37. DOI: http://dx.doi.org/10.1007/s00607-016-0490- 0 [Chen et al … 2014. The Stanford CoreNLP Natural Language Processing Toolkit …

Semantic query graph based SPARQL generation from natural language questions
S Song, W Huang, Y Sun – Cluster Computing, 2017 – Springer
… For example “What is the name of football clubs in EEFA?”, we use Stanford CoreNLP to syntactic analysis. The result is DPT structure about the POS tag of each word. We also use WordNet to analysis the synonyms form and find the synonyms terms form of noun phrases …

Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review
K Kreimeyer, M Foster, A Pandey, N Arya… – Journal of biomedical …, 2017 – Elsevier
Skip to main content …

DEVELOPING A NEW BUSINESS ANALYTICS DEGREE PROGRAM TO MEET MARKET NEEDS AND STATE APPROVAL
JJ Zhao, MW Alexander, AD Truell – iacis.org
… Stanford’s CoreNLP (https://stanfordnlp.github.io/CoreNLP/) is a Java API consisting of a … dates/times, organizations, and other entities; and (d) the coreference resolution annotator, which … 6 Figure 1. Showing dependencies, parts-of-speech, and named entities from CoreNLP …

Improving chemical-induced disease relation extraction with learned features based on convolutional neural network
HQ Le, DC Can, TH Dang, MV Tran… – … (KSE), 2017 9th …, 2017 – ieeexplore.ieee.org
… 2Stanford CoreNLP – Core natural language software: http://corenlp.run … risperidone for a mean of 2.9 years” which is generated by Stanford CoreNLP2 tool … Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation …

Efficient Dependency-Guided Named Entity Recognition.
Z Jie, AO Muis, W Lu – AAAI, 2017 – aaai.org
… shown to be useful in various NLP tasks, in- cluding coreference resolution, question answering … the Stanford CoreNLP3 to convert the constituency trees to basic Stanford depen- dency … 3http://stanfordnlp.github.io/CoreNLP/ 4http://maltparser.org/ 5https://catalog.ldc.upenn.edu …

Visual Analysis of Character and Plot Information Extracted from Narrative Text
T Ertl – Computer Vision, Imaging and Computer Graphics …, 2017 – books.google.com
… 1 A video and demo of the web implementation are available at http://textvis. visualdataweb. org. 2http://www. gutenberg. org. 3http://nlp. stanford. edu/software/corenlp. shtml. 4http://opennlp. apache. org. 5 https://gate. ac. uk/ie/annie. html. Page 245. 226 M. John et al …

Grounding proposition stores for question answering over linked data
B Cabaleiro, A Peñas, S Manandhar – Knowledge-Based Systems, 2017 – Elsevier
… 4.1. Proposition store building. Sentences from the ClueWeb09 Corpus are processed with Stanford CoreNLP [22] to obtain dependency trees which are also annotated with part-of-speech and coreferences [23]. We collapse …

Supervised algorithms for complex relation extraction
G Khirbat – 2017 – minerva-access.unimelb.edu.au
Page 1. THE UNIVERSITY OF MELBOURNE Supervised Algorithms for Complex Relation Extraction Gitansh Khirbat A thesis submitted in total fulfillment for the degree of Master of Philosophy in the School of Computing and …

Framing qa as building and ranking intersentence answer justifications
P Jansen, R Sharp, M Surdeanu, P Clark – 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 …

TENSOR: retrieval and analysis of heterogeneous online content for terrorist activity recognition
B Akhgar, P Bertrand, C Chananouli, T Day… – … Estonian Academy of …, 2017 – shura.shu.ac.uk
Page 1. TENSOR: retrieval and analysis of heterogeneous online content for terrorist activity recognition AKHGAR, Babak <http://orcid.org/0000-0003-3684-6481>, BERTRAND, Piere, CHANANOULI, Christina, DAY, Tony
Logic-based Approach to Machine Comprehension of Text
P Chabierski, A Russo, M Law – 2017 – imperial.ac.uk
Page 1. Imperial College London Department of Computing MEng Individual Project Logic-based Approach to Machine Comprehension of Text Author: Piotr Chabierski Project Supervisors: Prof. Alessandra Russo Mark Law June 19, 2017 Page 2. Page 3. Abstract …

Weakly supervised machine learning algorithms for object recognition in-the-wild and entity linking in videos
A Nurani Venkitasubramanian – 2017 – lirias.kuleuven.be
… 39 2.3.1 Named Entity Recognition . . . . . 39 2.3.2 Coreference Resolution . . . . . 40 … 85 5.2.3 Combining Text and Vision . . . . . 85 5.2.4 Cross-modal Coreference Resolution . . . . . 86 5.3 Task Definition …

Improving Lexical Inference using Context-sensitive Distributional Models with Rich Context Representations
O Melamud – u.cs.biu.ac.il
… It includes phrase pairs from PPDB 2.0 (Ganitkevitch et al., 2013) that were put in sentential contexts and re-annotated taking this context into account. One other related benchmark is Stanford’s Contextual Word Similarity (SCWS) dataset, introduced by Huang et al. (2012) …

Sentiment and Emotion Movie Script
T Anikina – 2017 – anikina.de
… Both classifiers were trained on the annotated data from the blog and news domains. The results of the subjectivity detection were combined with the sentiment annotation done by the CoreNLP and fastText classifiers, which were trained on the news and movie review domains …

The Shape of Story: A Semiotic Artistic Visualization of a Communal Storytelling Experience
D Long, S Gupta, JB Anderson, B Magerko – 2017 – durilong.com
… Emotions Natural Language An emotion was also extracted from sentences that contained the relevant information. Stanford- CoreNLP’s part-of-speech tagger was used to extract adjec- tives from a sentence (Toutanova et al … A multi-pass sieve for coreference resolution …

Proceedings of Language, Ontology, Terminology and Knowledge Structures Workshop (LOTKS 2017)
F Frontini, LG Simeunovi?, Š Vintar, AF Khan… – … of Language, Ontology …, 2017 – aclweb.org
… Also, the Stanford NER has heavily influenced by correct capitalization and punctuation, whereas UDPipe wasn’t influenced by these factors as … increases the number of term types and poses a challenge for automatic term extraction, as well as for coreference resolution in that …

Automatic Summarization of Fiction by Generating Character Descriptions
W Zhang – 2017 – digitool.library.mcgill.ca
Page 1. Automatic Summarization of Fiction by Generating Character Descriptions Weiwei Zhang Master of Science School of Computer Science McGill University Montreal,Quebec June 2017 A thesis submitted to the Faculty …

Visual Event Cueing in Linked Spatiotemporal Data
M Steptoe – 2017 – search.proquest.com
… The. three sentiment analysis classifiers used are SentiWordNet 3.0 [4], Stanford CoreNLP. (Sentiment Analysis) [51], and SentiStrength [62] … and oppinin mining applications. CoreNLP designed by Manning et al. [51] is an … to coreference resolution. Thelwall et al …

From Event to Story Understanding
N Mostafazadeh – 2017 – search.proquest.com
… resolution ambiguity. Constraint 2 Not solvable by simple coreference resolution techniques such as selectional restrictions … 2.3.3 Approaches for TacklingWinograd Schema Challenge. It is important to note that the traditional approaches of coreference resolution are not …

Slot Filling
GA Pink – 2017 – ses.library.usyd.edu.au
… loss occurs early in the pipeline. We confirm that accurate and coreference resolution are required for high-recall . We measure upper bounds using a naïve graph-based semi-supervised bootstrapping technique, and find that only 39% of …

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 …

Knowledge-driven entity recognition and disambiguation in biomedical text
A Siu – 2017 – publikationen.sulb.uni-saarland.de
Page 1. Saarland University Faculty of Mathematics and Computer Science Department of Computer Science Knowledge-driven Entity Recognition and Disambiguation in Biomedical Text Amy Siu A dissertation submitted towards the degree Doctor of Engineering …

Knowledge Discovery Considering Domain Litterature and Ontologies: Application to rare Diseases
M Hassan – 2017 – hal.inria.fr
Page 1. HAL Id: tel-01678860 https://hal.inria.fr/tel-01678860 Submitted on 9 Jan 2018 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 …

Natural Language Processing for Social Media
A Farzindar, D Inkpen – Synthesis Lectures on Human …, 2017 – morganclaypool.com
Page 1. on F ARZIND AR • INK P E N N A T UR AL L ANGU A GE P R O CE SSING FOR SO CIAL ME DIA , 2ND E DIT ION MOR GAN & CL A YPO OL Page 2. Page 3. Natural Language Processing for Social Media Second Edition Page 4. Synthesis Lectures on Human …

Description of the boun system for the trilingual entity detection and linking tasks at tac kbp 2017
A Celebi, A Ozgur – Proc. TAC2017, 2017 – tabilab.cmpe.boun.edu.tr
… Tokenizer+Tagger (CoreNLP) Candidate Generator Disambiguator … To achieve this, we first use the Stanford Part-of-Speech (POS) Tagger to tag the given text and then detect the sequences of words that are marked with NNP tag … On coreference resolution performance metrics …

Proceedings Estonian Academy of Security Sciences, 16: From Research to Security Union
H Maasing, J King, P Suve, B Akhgar, P Bertrand… – 2017 – digiriiul.sisekaitse.ee
Page 1. ? Foreword Helina Maasing, Editor-in-Chief ? Speech for the Security Research Event 2017 Julian King, Commissioner for the Security Union ? The echo of terrorism within domains important for developments of the police Priit Suve …

From Natural
I Pogrebezky – 2017 – idc.ac.il
Page 1. The Interdisciplinary Center, Herzliya Efi Arazi School of Computer Science M.Sc. program – Research Track From Natural Language descriptions to executable scenarios by Ilia Pogrebezky M.Sc. dissertation, submitted in partial fulfillment of the requirements …

Multilingual Keyphrase Extraction and Advanced Localisation Strategies
D Degl’Innocenti – 2017 – dspace-uniud.cineca.it
Page 1. Universit`a degli Studi di Udine Dipartimento di Scienze matematiche, informatiche e fisiche Dottorato di Ricerca in Informatica e Scienze Matematiche e Fisiche Ph.D. Thesis Multilingual Keyphrase Extraction and Advanced Localisation Strategies Candidate …

States, events, and generics: computational modeling of situation entity types
AS Friedrich – 2017 – publikationen.sulb.uni-saarland.de
Page 1. States, events, and generics: computational modeling of situation entity types Dissertation zur Erlangung des akademischen Grades eines Doktors der Philosophie der Philosophischen Fakultät der Universität des Saarlandes vorgelegt von Annemarie Silke Friedrich …

A causal model of writing competence
C Clemens – 2017 – dt.athabascau.ca
Page 1. ATHABASCA UNIVERSITY A CAUSAL MODEL OF WRITING COMPETENCE BY CLAYTON CLEMENS A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE …

Mining Linguistic Tone Patterns Using Fundamental Frequency Time-Series Data
S Zhang – 2017 – search.proquest.com
Mining Linguistic Tone Patterns Using Fundamental Frequency Time-Series Data. Abstract. With the rapid advancement in computing powers, recent years have seen the availability of large scale corpora of speech audio data …

Identifying Undesirable Behavior in Social Media: Towards Automated Fact-Checking and Youtube Meta-Data Spam Detection
A Patwari – 2017 – search.proquest.com
… We used Stanford. CoreNLP5 and NLTK6 for tokenization, POS-tagging, NER-tagging and Coreference-. Resolution. We train LDA topic model using Gibbs sampling7. We use scikit-learn 8 … 5https://stanfordnlp.github.io/CoreNLP/. 6http://www.nltk.org …

Entity recognition in the biomedical domain using a hybrid approach
M Basaldella, L Furrer, C Tasso… – Journal of …, 2017 – jbiomedsem.biomedcentral.com
Skip to content Advertisement …

Generalisation in named entity recognition: A quantitative analysis
I Augenstein, L Derczynski, K Bontcheva – Computer Speech & Language, 2017 – Elsevier
… from the choice of statistical NER approach, experiments are carried out with three differently-principled NER approaches, namely Stanford NER (Finkel … other, is that they contain annotations not only for NER, but also for other tasks such as coreference resolution, relation …

Painting Pictures with Words-From Theory to System
R Coyne – 2017 – search.proquest.com
… It parses natural language text using the Stanford dependency parser [De Marneffe et al., 2006] and employs distance heuristics to achieve a natural spacing between objects. It also uses collision detection and a physics engine to enforce some spatial constraints …

Computational Natural Language Inference: Robust and Interpretable Question Answering
RR Sharp – 2017 – search.proquest.com
Computational Natural Language Inference: Robust and Interpretable Question Answering. Abstract. We address the challenging task of computational natural language inference, by which we mean bridging two or more natural …

Methods and Techniques for Clinical Text Modeling and Analytics
Y Ling – 2017 – search.proquest.com
… First, we process clinical notes to identify words and sentences from clinical notes using Stanford CoreNLP Tool2. During the pre-processing, we use section annotator to identify di erent sections for each clinical note. The section …

Methods for Efficient Ontology Lexicalization for Non-Indo-European Languages: The Case of Japanese
B Lanser – 2017 – pub.uni-bielefeld.de
Page 1. Methods for Efficient Ontology Lexicalization for Non-Indo-European Languages The Case of Japanese Bettina Lanser A thesis presented for the degree of Doctor rerum naturalium (Dr. rer. nat.) Bielefeld University June 2017 Page 2. ii …

Surveying Stylometry Techniques and Applications
T Neal, K Sundararajan, A Fatima, Y Yan… – ACM Computing …, 2017 – dl.acm.org
Page 1. 86 Surveying Stylometry Techniques and Applications TEMPESTT NEAL, KALAIVANI SUNDARARAJAN, ANEEZ FATIMA, YIMING YAN, YINGFEI XIANG, and DAMON WOODARD, University of Florida The analysis of …

(Visited 64 times, 1 visits today)