Stanford CoreNLP & Coreference Resolution 2015


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:

See also:

Stanford CoreNLP & Coreference Resolution 2014


Two practical rhetorical structure theory parsers M Surdeanu, T Hicks… – Proceedings of the …, 2015 – anthology.aclweb.org … Using the above framework, we implemented two discourse parsers. The first uses CoreNLP for syntactic parsing and coreference resolution. This parser uses both constituent-and dependency-based features generated using the parser of Manning and Klein (2003). … Cited by 11 Related articles All 12 versions

Cross-document event coreference resolution based on cross-media features T Zhang, H Li, H Ji, SF Chang – Proc. Conference on Empirical …, 2015 – ee.columbia.edu … 1 if the attributes of EMi and EMj conflict Table 1: Features for Event Coreference Resolution we … frames. As CC consists of capitalized let- ters, we apply the true-casing tool from Standford CoreNLP (Manning et al., 2014) on CC. … Cited by 4 Related articles All 11 versions

Mr. Bennet, his coachman, and the Archbishop walk into a bar but only one of them gets recognized: On The Difficulty of Detecting Characters in Literary Texts H Vala, D Jurgens, A Piper, D Ruths – Proceedings of Empirical Methods …, 2015 – aclweb.org … (2013) also rely on the CoreNLP NER and coreference resolution systems for character detection; how- ever for literary analysis, they use gold character mentions that have been marked and resolved by a team of trained annotators, highlighting the diffi- culty of the task. … Cited by 4 Related articles All 12 versions

Semeval-2015 task 4: Timeline: Cross-document event ordering AL Minard, M Speranza, E Agirre, I Aldabe… – Proceedings of the 9th …, 2015 – aclweb.org … In addition, in order to detect event coreferences, they used the topic modelling algorithm of MALLET. The HEIDELTOUL team used the HeidelTime tool for time expression recognition and normalisation and Stanford CoreNLP for coreference resolution. … Cited by 14 Related articles All 11 versions

Cross-document co-reference resolution using sample-based clustering with knowledge enrichment S Dutta, G Weikum – Transactions of the Association for …, 2015 – tacl.cs.columbia.edu … CROCS initially pre-processes input documents to cast them into plain text (using standard tools like (https://code.google.com/p/ boilerpipe/), (www.jsoup.org), etc.). It then uses the Stanford CoreNLP tool suite to detect mentions and anaphors (http://nlp. stanford.edu/software/). … Cited by 10 Related articles All 12 versions

A document-level SMT system with integrated pronoun prediction C Hardmeier – Second Workshop on Discourse in Machine …, 2015 – diva-portal.org … though useful for training, may not be sufficient for good performance at test time, we decided to use annotations created with an external coreference resolution system when translating the test set. Coreference links were generated with the Stanford CoreNLP software1 (Lee et … Cited by 1 Related articles All 13 versions

Automatic post-editing for the DiscoMT pronoun translation task L Guillou – Proceedings of the Second Workshop on Discourse in …, 2015 – aclweb.org … see Section 6). For instances of “it” identified as anaphoric, and all instances of “they”, the pronoun’s near- est non-pronominal antecedent is extracted using the coreference resolution system (Raghunathan et al., 2010; Lee et al., 2011) provided in the Stan- ford CoreNLP tool3. … Cited by 1 Related articles All 12 versions

Adapting Coreference Resolution for Narrative Processing QNT Do, S Bethard, MF Moens – cs.cmu.edu … 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. Alan Prince and Paul Smolensky. … 2010. Coreference resolution with reconcile. … Cited by 2 Related articles All 9 versions

Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron J Araki, T Mitamura – junaraki.net … 2014. The Stanford CoreNLP natural language pro- cessing toolkit. In Proceedings ACL 2014: System Demonstrations, pages 55–60. … 2002. Improving ma- chine learning approaches to coreference resolution. In Proceedings of ACL 2002, pages 104–111. … Cited by 3 Related articles All 11 versions

Using an Implicit Method for Coreference Resolution and Ellipsis Handling in Automatic Student Answer Assessment. R Banjade, V Rus, NB Niraula – FLAIRS Conference, 2015 – pdfs.semanticscholar.org … How does it address ellipsis handling and coreference resolution? … Then, we extracted concepts from student answer, reference answer(s), and tutor question using Stanford CoreNLP package as described by Stefanescu, Banjade, and Rus (2014). … Related articles All 2 versions

Combining Singular Value Decomposition and a multi-classifier: A new approach to support coreference resolution A Zelaia, O Arregi, B Sierra – Engineering Applications of Artificial …, 2015 – Elsevier … The authors of Lee et al. (2013) propose a coreference resolution system that is an incremental extension of the multi-pass sieve system proposed in Raghunathan et al. (2010). … It is integrated in the Stanford CoreNLP toolkit (Manning et al., 2014). … Related articles All 3 versions

A Multi-classifier Approach to support Coreference Resolution in a Vector Space Model A Zelaia, O Arregi, B Sierra – Proceedings of NAACL-HLT, 2015 – anthology.aclweb.org … et al., 2008) or the Stanford CoreNLP (Manning et al., 2014), among others. Nevertheless, rule-based systems have also been applied successfully (Lappin et al., 1994; Mitkov, 1998; Lee et al., 2013). The authors of this last sys- tem propose a coreference resolution system that … Related articles All 8 versions

Hybrid Text Analysis N Adams – Available at SSRN 2670326, 2015 – papers.ssrn.com … Occupy Seattle plans a large demonstration Saturday. Page 16. Coreference Resolution Using CoreNLP Page 17. Named Entity Replacement Using Regular Expressions ‘Find & Replace’ of common Subjects, Verbs, and Objects Page 18. SVO Extraction Using ClausIE …

A Concrete Chinese NLP Pipeline N Peng, F Ferraro, M Yu, N Andrews… – Proceedings of NAACL- …, 2015 – cs.jhu.edu … While some pipelines cover multiple tasks, such as Stanford CoreNLP (Manning et al., 2014), other tasks such as relation … Similarly, entity linking typically assumes the presence of within document coreference resolution, named entity identification and relation extraction. … Cited by 1 Related articles All 12 versions

Event Nugget Detection using Thresholding and Classification Techniques T Satyapanich, T Finin – Eighth Text Analysis Conference – ebiquity.umbc.edu … al., 2014) . The Stanford CoreNLP is the collection of Natural Language Pro- cessing such as part of speech tagger, name entity recognizer, etc. Coreference resolution is another function that is provided in the package. We … Related articles All 2 versions

HeidelToul: A Baseline Approach for Cross-document Event Ordering B Moulahi, J Strötgen, M Gertz, L Tamine – SemEval-2015, 2015 – aclweb.org … Coreference resolution: To avoid extracting event candidates only from sentences in which parts of the entity name occur explicitly, we apply entity coreference resolution using the Stanford CoreNLP tool (Lee et al., 2013; Man- ning et al., 2014). … Cited by 2 Related articles All 10 versions

A strong lexical matching method for the machine comprehension test E Smith, N Greco, M Bosnjak… – Proceedings of the …, 2015 – eprints.whiterose.ac.uk … Table 1: Performance improvements on combined train and dev sets. 4.1 Coreference resolution … 1694 Page 3. and added the score to the original one. The chains and their represenatative mentions were ob- tained using the Stanford CoreNLP toolkit (Man- ning et al., 2014). … Cited by 6 Related articles All 11 versions

Automatic Ellipsis Resolution: Recovering Covert Information from Text. M McShane, P Babkin – AAAI, 2015 – cogsci.rpi.edu … The sentences that are hypothesized to contain modal-scope ellipsis are processed by the Stan- ford dependency parser (version Stanford-corenlp-2012- 01-08; de Marneffe, MacCartney … Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules. … Cited by 6 Related articles All 4 versions

LIMSI-CNRS @CLEF 2015: Tree Edit Beam Search for Multiple Choice Question Answering M Gleize, B Grau – CLEF 2015 Working Notes, 2015 – pdfs.semanticscholar.org … We use Stanford CoreNLP as the main Natural Language annotation tool. Each sentence from the document, questions or answer choices is tagged with Part- Of-Speech [9] and syntactically parsed [4]. In addition, a coreference resolution system [7] is applied on the whole … Cited by 3 Related articles All 2 versions

C3EL: A Joint Model for Cross-Document Co-Reference Resolution and Entity Linking S Dutta, G Weikum – Conference on Empirical Methods in …, 2015 – anthology.aclweb.org … org. Recognition and markup of mentions are per- formed using the Stanford CoreNLP toolkit (nlp. stanford.edu), and a coarse-grained lexical type for each mention (eg, person, location, orga- nization, etc.) is obtained from the Stanford NER Tagger (Finkel et al., 2005). … Related articles All 10 versions

Machine Comprehension Using Robust Rule-Based Features and Multiple-Sentence Enhancing W Chen, D Wang, X Wang – nlp.stanford.edu … Stanford CoreNLP (Manning et al., 2014) provides a robust tool for coreference resolution. Given a passage, CoreNLP pipelines generates a set of entities and for each entities a set of tokens refering to this entity. It also selects … Related articles All 4 versions

Applying hybrid terminology extraction to aspect-based sentiment analysis O De Clercq, M Van de Kauter, E Lefever… – … Workshop on Semantic …, 2015 – biblio.ugent.be … Locations are found using the Stanford CoreNLP toolkit (Man- ning et al., 2014) and for the sentiment words, we filter those terms occurring in one … Coreference resolution of each individual review was performed with the Stan- ford multi-pass sieve coreference resolution system … Cited by 4 Related articles All 11 versions

Visual Error Analysis for Entity Linking B Heinzerling, M Strube – ACL-IJCNLP 2015, 2015 – aclweb.org … 2014. The Stanford CoreNLP natural lan- guage processing toolkit. … 2014. Recall error analysis for coreference resolution. In Pro- ceedings of the 2014 Conference on Empirical Meth- ods in Natural Language Processing, Doha, Qatar, 25–29 October 2014, pages 2070–2081. … Cited by 1 Related articles All 7 versions

UFRGS: Identifying Categories and Targets in Customer Reviews A Kauer, VP Moreira – SemEval-2015, 2015 – aclweb.org … in precision. As future work, we plan to improve the coreference resolution of review texts so as to fur- ther improve recall. Acknowledgments … McClosky. 2014. The Stanford CoreNLP natural language pro- cessing toolkit. In Proceedings … Related articles All 10 versions

Narrative hermeneutic circle: improving character role identification from natural language text via feedback loops J Valls-Vargas, J Zhu, S Ontañón – Proceedings of the 24th International …, 2015 – dl.acm.org … 12. Heeyoung Lee , Yves Peirsman , Angel Chang , Nathanael Chambers , Mihai Surdeanu , Dan Jurafsky, Stanford’s multi-pass sieve coreference resolution system at the CoNLL-2011 shared task, Proceedings of the Fifteenth Conference on Computational Natural Language … Cited by 2 Related articles All 2 versions

Big data for Natural Language Processing: A streaming approach R Agerri, X Artola, Z Beloki, G Rigau, A Soroa – Knowledge-Based Systems, 2015 – Elsevier … ixa-pipe-coref performs coreference resolution. The algorithm is loosely based on the Stanford Multi Sieve Pass system [19]. … The Stanford CoreNLP 16 is also a monolithic suite, which makes it difficult to integrate other tools in its chain. … Cited by 18 Related articles All 4 versions

Automatic Generation of Mind Maps from Essays A Zidek – 2015 – augustin.zidek.eu … ‘Let us shut out the night!’ she said.” [11] The phrases in bold all refer to Goldberry and coreference resolution system should correctly identify that. The CoreNLP coreference resolver uses the following steps to find the coreference sets [12]. …

IXAGroupEHUSpaceEval:(X-Space) A WordNet-based approach towards the automatic recognition of spatial information following the ISO-Space annotation … H Salaberri, O Arregi, B Zapirain – Proceedings of the 9th …, 2015 – anthology.aclweb.org … OpenNLP name finder tool is used (Baldridge, 2005). Chains of coreference are identified using the Standford CoreNLP coreference resolution sys- tem (Manning et al., 2014). After the preprocessing of input texts is per- formed … Cited by 1 Related articles All 11 versions

A System for Generating Multiple Choice Questions: With a Novel Approach for Sentence Selection M Majumder, SK Saha – ACL-IJCNLP 2015, 2015 – anthology.aclweb.org … We use ‘Stanford Deterministic Coreference Resolution System’, which is basi- cally a module of the ‘Stanford CoreNLP Suite’, for coreference resolution. Finally we get the following simple sentences from the aforemen- tioned example sentence. … Cited by 2 Related articles All 9 versions

CETUS–A Baseline Approach to Type Extraction M Röder, R Usbeck, R Speck, ACN Ngomo – Semantic Web Evaluation …, 2015 – Springer … Afterwards, we use the Stanford CoreNLP [8] library for part-of-speech tagging and lemmatization as well as the Stanford Deterministic Coreference Resolution System [6] to replace pronouns with their coreferenced words, eg, He studied physics with Albert Einstein studied … Cited by 10 Related articles All 4 versions

Classifier Based Machine Comprehension Q Yan, Y Wang – nlp.stanford.edu … 6 Experiments We use the Stanford CoreNLP API (Manning et al., 2014) in our program to do (1) tokenization and lemmatization, (2) sentence splitting, (3) part of speech tagging, Page 5. (4) constituent parsing, (5) dependency parsing, (6) coreference resolution. … All 2 versions

Social Media Mining with Natural Language Processing M Abdul-Mageed, M Dickinson – 2015 – scholarworks.iu.edu … the CoreNLP package) ? ClearNLP: http://www.clearnlp.com ? FreeLing: http://nlp.lsi.upc.edu/ freeling/ ? LingPipe: http://alias-i.com/lingpipe/ ? OpenNLP: http://opennlp.apache.org/index. html ? Natural Language Toolkit (NLTK): http://www.nltk.org/ ? Illinois tools: http …

Extracting and Visualising Biographical Events from Wikipedia I Russo, T Caselli, M Monachini – ceur-ws.org … coreference resolution (COREF layer); • named entity recognition and disambiguation (NERC and NERD layers); • semantic role labelling (SRL layer). Stanford CoreNLP is a Java natural language analysis li- brary that includes a part-of-speech (POS) tagger, a named entity … Cited by 1 Related articles All 2 versions

Sentence trimming in service of verb phrase ellipsis resolution M McShane, S Nirenburg, P Babkin – Proceedings of EAP CogSci, 2015 – ceur-ws.org … Deterministic coreference resolution based on entity-centric, precision-ranked rules. Computational Linguistics 39(4): 885-916. Manning, CD, Surdeanu, M., Bauer, J., Finkel, J., Bethard, SJ & McClosky, D. (2014). The Stanford CoreNLP Natural Language Processing Toolkit. … Cited by 3 Related articles All 3 versions

Early Approaches to Anaphora Resolution: Theoretically Inspired and Heuristic-Based M Poesio, R Stuckardt, Y Versley, R Vieira – cswww.essex.ac.uk … definite descriptions on a large scale. We also review briefly the two best-performing systems that participated in the first ‘coreference’ resolution evaluation campaigns, FASTUS and LaSIE. Heuristic-based systems are still competitive … Related articles All 5 versions

Predicate argument alignment using a global coherence model T Wolfe, M Dredze, B Van Durme – … of the 2015 Conference of the North …, 2015 – aclweb.org … Predicate argument alignment, or entity-event cross-document coreference resolution, enlarges the set of possible co-referent elements to include the … We used the Stanford CoreNLP lemmatizer (Man- ning et al., 2014) and found it yielded slightly better results than previously … Cited by 2 Related articles All 6 versions

Information retrieval in falktales using natural language processing A Groza, L Corde – Intelligent Computer Communication and …, 2015 – ieeexplore.ieee.org … Other coreference tools are For the anaphoric decoreference, there are several other tools (BART, JAVARAP, GuiTar and ARKref), but, from all, the Stanford-CoreNLP has be highest accuracy percentage. There is ongoing research in the coreference resolution domain, When … Related articles All 7 versions

Mining Scientific Papers for Bibliometrics: a (very) Brief Survey of Methods and Tools I Atanassova, M Bertin, P Mayr – arXiv preprint arXiv:1505.01393, 2015 – arxiv.org … Stanford CoreNLP (Manning, 2014) integrates many NLP tools, including a part-of-speech (POS) tagger, a named entity recognizer (NER), a parser, a coreference resolution system, a sentiment analysis tool, and bootstrapped pattern learning tools. … Related articles All 6 versions

Towards a Computational Framework for Winograd Schemas Resolution N Bova, M Rovatsos – essence-network.com … Keywords—Winograd Schemas, Coreference Resolution, First Order Logic, Logic, Knowledge Bases, Semantic Networks, Graph Databases, Reasoning, Automatic Theorem Proving. … First, we analyse the sentences using the Stanford CoreNLP Toolkit [40]. … Related articles

Arabic Anaphora Resolution: Corpus of the Holy Qurâ [euro](TM) an Annotated with Anaphoric Information KM Seddik, A Farghaly… – International Journal of …, 2015 – search.proquest.com … 3 To download Stanford package and see the documentation, visit: http://nlp.stanford.edu/software/ corenlp.shtml. 38. … Anaphora/Coreference Resolution, to appear in Zitouni I., “Natural Language Processing Approaches to Semitic Languages (Theory and Applications of Natural … Related articles All 3 versions

Hits at tac kbp 2015: Entity discovery and linking, and event nugget detection B Heinzerling, A Judea, M Strube – Proc. Text Analysis Conference ( …, 2015 – nist.gov … This architecture follows similar approaches in coreference resolution (Lee et al., 2011; Raghu- nathan et al., 2010). … Entity type filter: Undo any sense annotation whose NE type, as determined by CoreNLP, does not agree with the rdf:type values found in the ref- erence KB. … Cited by 2

A Pilot Experiment on Exploiting Translations for Literary Studies on Kafka’s “Verwandlung” F Cap, I Rösiger, J Kuhn – on Computational Linguistics for Literature, 2015 – aclweb.org … Coreference resolution has been extensively addressed in NLP research, eg in the CoNLL shared task 2011 and 2012 (Pradhan et al., 2011; Pradhan et al., 2012) 6 or in the Se- mEval shared task 2010 (Recasens et al., 2010) 7. State-of-the-art tools that … edu/software/corenlp. … Related articles All 12 versions

Extracting Knowledge from Text with PIKES F Corcoglioniti, M Rospocher, AP Aprosio – 2015 – dkm-static.fbk.eu … PIKES currently relies on state-of-the-art NLP tools such as: Stanford CoreNLP8 for part-of-speech tagging, named entity recognition and classification, temporal expression recognition and normalization, and coreference resolution; mate-tools9 for dependency parsing and SRL … Cited by 3 Related articles All 3 versions

TextServer: Cloud-based Multilingual Natural Language Processing J Turmo – 2015 IEEE International Conference on Data …, 2015 – ieeexplore.ieee.org … REFERENCES [1] CD Manning, M. Surdeanu, J. Bauer, J. Finkel, SJ Bethard, and D. McClosky, “The Stanford CoreNLP natural language … [17] E. Sapena, L. Padró, and J. Turmo, “A constraint-based hypergraph partitioning approach to coreference resolution,” Computational … Related articles All 5 versions

Towards a Framework for Winograd Schemas Resolution N Bova, M Rovatsos – essence-network.com … Keywords—Winograd Schemas, Coreference Resolution, First Order Logic, Logic, Knowledge Bases, Semantic Networks, Graph Databases, Automatic Theorem Proving. … First, analyse the sentences using the Stanford CoreNLP Toolkit [40]. … Related articles

CETUS–A Baseline Approach to Type Extraction ACN Ngomo – … : Second SemWebEval Challenge at ESWC 2015, …, 2015 – books.google.com … Afterwards, we use the Stan- ford CoreNLP [8] library for part-of-speech tagging and lemmatization as well as the Stanford Deterministic Coreference Resolution System [6] to replace pro- nouns with their coreferenced words, eg, He studied physics with Albert Einstein studied … Related articles

Topics, Trends, and Resources in Natural Language Processing (NLP) M Bansal – Citeseer … 10% rel. error reduction over 90-92% parsers Page 29. Coreference Resolution Mentions to entity/event clusters Demos: h;p://nlp.stanford.edu:8080/corenlp/process President Barack Obama received the Serve America Act after congress’ vote. He signed the bill last Thursday. … Related articles All 2 versions

Automatic Top-Down Role Engineering Framework Using Natural Language Processing Techniques M Narouei, H Takabi – … Conference on Information Security Theory and …, 2015 – Springer … line. For this purpose, we use CoreNLP tool kit [31]. Coreference Resolution. Coreference resolution (sometimes written co-reference) determines whether or not two expressions in a document refer to the same entity or event. … Related articles All 4 versions

Qanswer-enhanced entity matching for question answering over linked data S Ruseti, A Mirea, T Rebedea, S Trausan-Matu – 2015 – pdfs.semanticscholar.org … 4 https://github.com/openlink/virtuoso-opensource 5 http://downloads.dbpedia.org/2014/ 6 http://nlp.stanford.edu/software/corenlp.shtml 7 http … not by label, using a coreference system would slow this task even more, and we concluded not to use coreference resolution at this … Cited by 4 Related articles All 2 versions

Understandable big data: A survey CK Emani, N Cullot, C Nicolle – Computer science review, 2015 – Elsevier … system is discussed. Finally this survey tackles semantics (reasoning, coreference resolution, entity linking, information extraction, consolidation, paraphrase resolution, ontology alignment) in the Big Data context. Keywords. … Cited by 26 Related articles All 8 versions

The Triplex Approach for Recognizing Semantic Relations from Noun Phrases, Appositions, and Adjectives IF Cruz – The Semantic Web: ESWC 2015 Satellite Events: …, 2015 – books.google.com … The coreference resolution module is used to replace in all the sentences pronouns and other coreferential mentions with the corresponding entity spans prior to subsequent processing. … WordNet synsets 1 http://nlp. stanford. edu/software/corenlp. shtml. 2http://nlp. stanford. … Related articles

Development of a Domain-Independent Interactive Question Answering System F Kaiser – isl.anthropomatik.kit.edu … If a reference in form of a personal or possessive pronoun has been detected, the coreference resolution module (Raghunathan et al., 2010) as part of the Stanford CoreNLP Toolkit is used to locate the actual entities that the pronouns are referring to. … Related articles

A domain-independent rule-based framework for event extraction MAVEG Hahn, PTHM Surdeanu – ACL-IJCNLP 2015, 2015 – aclweb.org … We follow the simplicity principles promoted by other natural language process- ing toolkits, such as Stanford’s CoreNLP, which aim to “avoid … For example, a custom action may trigger coreference resolution when a rule matches a common noun, eg, the protein, instead of the … Cited by 1 Related articles All 12 versions

Posterior calibration and exploratory analysis for natural language processing models K Nguyen, B O’Connor – arXiv preprint arXiv:1508.05154, 2015 – arxiv.org … data. In §6 we introduce a representative corpus explo- ration problem, identifying temporal event trends in international politics, with a method that is de- pendent on coreference resolution. We … calibration. 5 Coreference resolution We … Cited by 8 Related articles All 14 versions

Distinguishing Specific and Daily Topics T Ge, W Pei, B Chang, Z Sui – Asia-Pacific Web Conference, 2015 – Springer … If a cross- document event coreference resolution system can distinguish specific and daily topics, it will not consider these two events coreferential. … As preprocessing, we use Stanford CoreNLP toolkit [10] to do lemmatization, named entity extraction and POS tagging. … Cited by 1 Related articles All 3 versions

Towards content-oriented patent document processing: Intelligent patent analysis and summarization S Brügmann, N Bouayad-Agha, A Burga… – World Patent …, 2015 – Elsevier … (ii) Coreference resolution: Application of a succession of independent coreference models (called “sieves”), from highest to lowest precision to all candidate … To adapt StCR to patent material, we substituted the Stanford CoreNLP pipeline by our own processing pipeline that … Cited by 2 Related articles All 2 versions

Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets P Tungthamthiti, E Santus, H Xu, CR Huang… – Proceedings of the 29th …, 2015 – aclweb.org … 2http://nlp.stanford.edu/software/corenlp.shtml classification process. … However, such method would not be ap- propriate for our scope, because it focuses specifi- cally on coreference resolution, rather than identify- ing the coherence relationship. … Cited by 1 Related articles All 10 versions

Expectation-driven treatment of difficult referring expressions M McShane – Proceedings of the Third Annual Conference on …, 2015 – cogsys.org … This distributed treatment of BREs must be understood within the framework of overall OntoAgent language analysis, which is comprised of: (1) preprocessing and syntactic analysis, provided by Stanford CoreNLP (Manning et al. … Cited by 2 Related articles All 4 versions

Yet another suite of multilingual NLP tools M Garcia, P Gamallo – International Symposium on Languages, …, 2015 – Springer … Stanford CoreNLP [11] is one of the best known suites, including modules like tokenizers, PoS-taggers, named entity recognizers, coreference resolution systems and syntactic parsers. It is written in Java and has been developed … Cited by 3 Related articles All 4 versions

Discourse-sensitive Automatic Identification of Generic Expressions A Friedrich, M Pinkal – … of the 53rd Annual Meeting of the …, 2015 – anthology.aclweb.org … As this grammar is not publicly available, we implement a similar system using exclusively the Stanford CoreNLP toolsuite (Manning et al., 2014), the Celex database of En- glish nouns (Baayen et al., 1996) and WordNet (Fellbaum, 1999). … Cited by 5 Related articles All 7 versions

This Table is Different: A WordNet-Based Approach to Identifying References to Document Entities S Wilson, AW Black, J Oberlander – Citeseer … Entity linking and coreference resolution address similar phenomena, but systems for those tasks are unsuitable for DE references (as explained … However, coreference resolvers are not suited for the present task; those tried by the researchers include CoreNLP (Recasens, de … Related articles All 6 versions

Document level time-anchoring for timeline extraction E Laparra, I Aldabe, G Rigau – Volume 2: Short Papers, 2015 – anthology.aclweb.org … The WHUNLP team used the Stanford CoreNLP and they applied a rule-based approach to extract the entities and their predicates. … Coreference Resolution (CR): In this case, we use a coreference module that is loosely based on the Stanford Multi Sieve Pass sytem (Lee et al … Cited by 4 Related articles All 10 versions

CoMiC: Exploring Text Segmentation and Similarity in the English Entrance Exams Task R Ziai, B Rudzewitz – CLEF 2015 Working Notes, 2015 – ceur-ws.org … Task Component Sentence Segmentation, Tokenization, Stanford CoreNLP [11] Named Entity Recognition, Lemmatization, POS tagging, Coreference Resolution Constituency Parsing Berkeley Parser [15] Dependency Parsing MaltParser [12] Semantic Role Labeling Clear … Cited by 2 Related articles All 2 versions

Web Person Disambiguation Using Hierarchical Co-reference Model J Xu, Q Lu, M Li, W Li – … Conference on Intelligent Text Processing and …, 2015 – Springer … The Stanford CoreNLP tool is used to preprocess these articles, including tokenization, part-of-speech tagging, and named entity recognition. … 291 22. Wick, M., Culotta, A., Rohanimanesh, K., McCallum, A.: An Entity-based Model for Coreference Resolution. … Cited by 2 Related articles All 2 versions

The triplex approach for recognizing semantic relations from noun phrases, appositions, and adjectives SI Mirrezaei, B Martins, IF Cruz – European Semantic Web Conference, 2015 – Springer … Additionally, we perform coreference resolution on the extracted Wikipedia pages to identify words that refer to the same Wikipedia page subject. … Furthermore, we use the Stanford CoreNLP toolkit to detect all verbs (predicates) in a sentence. … Cited by 4 Related articles All 8 versions

Interactions between Narrative Schemas and Document Categories D Simonson, AR Davis, E Solutions – ACL-IJCNLP 2015, 2015 – aclweb.org … were parsed and their coreference chains were extracted with Stanford CoreNLP version 3.4. 1 (Manning et al. 2014), particularly the Stanford Parser (de Marneffe, MacCart- ney, and Manning 2006) and the Stanford Deterministic Coreference Resolution System (Lee et al. … Cited by 2 Related articles All 8 versions

On improving parsing with automatically acquired semantic classes B Cabaleiro, A Peñas – Knowledge-Based Systems, 2015 – Elsevier … in the set of documents D. Each document d is processed with Stanford CoreNLP (see Section 2) to obtain part-of-speech annotations [7], named entities [8], syntactic dependencies [5] and coreferences [9]. Graphs G d G d are … Related articles All 3 versions

Semantic Grounding in Dialogue for Complex Problem Solving X Li, KE Boyer – aclweb.org … Howev- er, different from coreference resolution, noun phrase grounding links natural language expres- sions to entities in a real world environment. … To extract features, the lemmatization and syn- tactic parsing were performed with the Stanford CoreNLP toolkit (Manning et al … Related articles All 7 versions

Semantic word classification and temporaldependency detection on cooking recipes E Jonsson – 2015 – diva-portal.org … and more attributes were added to address those specific problems. For example: The coreference resolution used from CoreNLP that was used failed to pick up back references properly so a more simple version was used in parallel. 3.3 Semantic class of words … Related articles

Extracting Social Network from Literature to Predict Antagonist and Protagonist M Fernandez, M Peterson, B Ulmer – 2015 – nlp.stanford.edu … For sentiment analysis, we utilized Stanford’s CoreNLP and SentiWordNet, two resources for opinion mining of text. … Sentiment Analysis Algorithm Once we have performed coreference resolution on our document, we extract relationships between characters and identify the … Related articles All 3 versions

Measuring the Structural and Conceptual Similarity of Folktales using Plot Graphs VA Lestari, R Manurung – LaTeCH 2015, 2015 – aclweb.org … In our experiments, we use the depen- dency parser (de Marneffe and Manning, 2008) and coreference resolution tool (Lee et al., 2013) found in Stanford CoreNLP library1. Our algo- rithm processes one sentence at a time. … Related articles All 7 versions

Semantic Web Machine Reading with FRED A Gangemia, V Presuttib, DR Recuperob… – semantic-web-journal.org … based on Verb- Net [44] and FrameNet [4]), identification of relations between frames, named entity recognition (NER) and coreference resolution (CRR). … For both tasks, ie NER and CCR, FRED takes as input the union of Boxer, TAGME and CoreNLP outputs, where TAGME … Cited by 4 Related articles All 4 versions

Veracity of Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics L Berti-Équille… – Synthesis Lectures on Data …, 2015 – morganclaypool.com Page 1. Veracity of Data From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics Laure Berti-Équille Javier Borge-Holthoefer BE R T I-ÉQ UIL L E • BOR GE-HOL T HOE FE R VE R A CIT Y OF D A T A MO R GAN & CL A YPOO L … Cited by 7 Related articles All 3 versions

Aligning sentences from standard wikipedia to simple wikipedia W Hwang, H Hajishirzi, M Ostendorf… – Proceedings of the …, 2015 – anthology.aclweb.org … 2013. Joint coreference resolution and named-entity linking with multi-pass sieves. In Proceedings of the Conference on Empirical Methods in Natural Language Process- ing (EMNLP). … 2014. The Stanford CoreNLP natural language processing toolkit. … Cited by 10 Related articles All 7 versions

Articulated Motion Learning via Visual and Lingual Signals Z Wu, M Bansal, MR Walter – arXiv preprint arXiv:1511.05526, 2015 – arxiv.org … lingual cues in a multimodal learn- ing framework for such tasks as image and video caption synthesis [5–7, 10–21], visual coreference resolution [8, 9 … We use the Stanford CoreNLP pipeline, tokenizer, and POS-tagger to identify relevant noun and verb words in the caption [36]. … Related articles All 3 versions

Identifying political sentiment between nation states with social media N Chambers, V Bowen, E Genco, X Tian, E Young… – Proc. …, 2015 – emnlp2015.org … Most NLP tasks use coreference resolution: determine the text an- tecedent of a text mention. … Stanford’s CoreNLP (nlp.stanford.edu/software) is used to train a MaxEnt classifier with its default settings. 5 Nation to Nation Pipeline … Cited by 6 Related articles All 11 versions

An Entity-centric Approach for Overcoming Knowledge Graph Sparsity M Hegde, P Talukdar – anthology.aclweb.org … 3.2 Triple Extraction Text of each document obtained in the pre- vious step is processed through the Stanford CoreNLP toolkit (Manning et al., 2014) for tokenization, coreference resolution, and de- pendency parsing. Tokenized … Related articles All 11 versions

Text Categorisation by Using Sentiment Composition D Uribe – International Workshop on Future and Emergent …, 2015 – Springer … the Stanford CoreNLP toolkit [3]. In fact, Stanford CoreNLP is an integrated suite of natural language processing tools including the part-of-speech (POS) tagger, the named entity recogniser (NER), the parser, the coreference resolution module, the sentiment analysis system. … Related articles All 2 versions

Creative help: A story writing assistant M Roemmele, AS Gordon – International Conference on Interactive Digital …, 2015 – Springer … 1985)CrossRef. 9. Lee, H., Chang, A., Peirsman, Y., Chambers, N., Surdeanu, M., Jurafsky, D.: Deterministic coreference resolution based on … Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., McClosky, D.: The stanford coreNLP natural language processing toolkit. … Cited by 3 Related articles All 3 versions

Relation extraction from community generated question-answer pairs D Savenkov, WL Lu, J Dalton, E Agichtein – NAACL-HLT 2015 Student …, 2015 – aclweb.org … From these clusters we used all possi- ble pairs of questions and answers (19629443 pairs in total). For each QnA pair we applied tokenization, sentence detection, named entity tagger, parsing and coreference resolution from Stanford CoreNLP (Manning et al., 2014). … Cited by 3 Related articles All 10 versions

Natural language processing and data mining for clinical text K Raja, SR Jonnalagadda – Healthc. Data Anal, 2015 – books.google.com … On the other hand, the un- supervised approaches for coreference resolution adopt a fully generative, nonparametric Bayesian model based on hierarchical … based system using regular expression and is implemented as one of the annotators in the Stanford CoreNLP pipeline. … Cited by 4 Related articles

Overview of TAC KBP 2015 Event Nugget Track T Mitamura, Z Liu, E Hovy – Text Analysis Conference, 2015 – cairo.lti.cs.cmu.edu … The annotations provided by LDC are based on char- acter spans. Since character-based evaluation tends to assign higher weights to longer spans, we preprocess the corpus to provide a standard tokenized dataset using the Stanford CoreNLP toolkit (Manning et al., 2014). … Cited by 1

Movie Script Summarization as Graph-based Scene Extraction PJ Gorinski, M Lapata – pdfs.semanticscholar.org … The corpus spans years 1909–2013. Some corpus statistics are shown in Figure 2. The scripts were further post-processed with the Stanford CoreNLP pipeline (Manning et al., 2014) to perform tagging, parsing, named entity recogni- tion and coreference resolution. … Cited by 2 Related articles All 6 versions

Construction and evaluation of event graphs G Glavaš, J Šnajder – Natural Language Engineering, 2015 – Cambridge Univ Press … For coreference resolution, we do not consider mentions other than event anchors (eg, we do not consider pronominal anaphoric mentions). 3.2 Anchor extraction … 2 http://nlp.stanford. edu/downloads/corenlp.shtml Page 14. 620 G. Glavaš and J. Šnajder … Cited by 2 Related articles All 4 versions

Distant Supervision for Entity Linking M Fan, Q Zhou, TF Zheng – arXiv preprint arXiv:1505.03823, 2015 – arxiv.org … ORG). The sentence will be annotated as [Michael Jordan]/PER vis- ited [CMU]/ORG yesterday, after being pro- cessed by this operation. • Coreference Resolution (Ng, 2010): Some entities may have alias or abbreviations. It … Cited by 4 Related articles All 12 versions

Statistical Script Learning with Recurrent Neural Nets K Pichotta – 2015 – cs.utexas.edu … Finally, we propose investigating the interface between models of event co-occurrence and coreference resolution, in particular by integrating script information into general corefer- ence systems. 1 Page 2. Contents 1 Introduction 3 2 Background and Related Work 3 … Related articles All 3 versions

Detecting Cancer Progression In Radiology Reports YU YAN – pdfs.semanticscholar.org … These problems include: (1) Absence of unary relations, coreference resolution and negation han- dling (2) No interactions between relations. … (1) The relation extraction code was written in java with a heavy use of the following libraries: (a) Stanford CoreNLP (b) OpenNLP (2 … All 2 versions

Text Summarization Based on Genetic Fuzzy Techniques S CHINTALURI, RP REDDY, K Nara – 2015 – ijsetr.com … [7] R. Witte and S. Bergler, “Fuzzy coreference resolution for summarization” In Proceedings of 2003 International Symposium on Reference Resolution and Its Applications to Question Answering and Summarization (ARQAS). … [26]http://nlp.stanford.edu/software/corenlp.shtml. … Cited by 1 Related articles All 2 versions

Ask, and shall you receive?: Understanding Desire Fulfillment in Natural Language Text S Chaturvedi, D Goldwasser, H Daume III – arXiv preprint arXiv: …, 2015 – arxiv.org … his barn.”. This process followed several steps: • If the Desire-subject is pronominal, replace it with the appropriate named entity when possible (we used the Stanford CoreNLP coreference resolution sys- tem) [23]. • Ignore the … Cited by 2 Related articles All 5 versions

MMToC: A Multimodal Method for Table of Content Creation in Educational Videos A Biswas, A Gandhi, O Deshmukh – Proceedings of the 23rd ACM …, 2015 – dl.acm.org … The Stanford CoreNLP [28] implementation of the corefer- ence resolution system was used in our work. Note that this coreference resolution method is optimized for a text-only coreference scenario and misses out on several visual coref- erences. … Cited by 5 Related articles

Extraction and generalisation of variables from scientific publications E Marsi, P Oztürk – Proc. of EMNLP – researchgate.net … 2014. The Stanford CoreNLP natural lan- guage processing toolkit. … 2012. Boosting automatic event ex- traction from the literature using domain adapta- tion and coreference resolution. Bioinformatics, 28(13):1759–1765. Roser Morante and Walter Daelemans. 2009. … Cited by 1 Related articles All 11 versions

Generative event schema induction with entity disambiguation KH Nguyen, X Tannier, O Ferret… – Proceedings of the …, 2015 – anthology.aclweb.org … verbal modifier). In the relationship to trig- gers, a head word is argument, but in the relation- ship to attributes, it is predicate. We use Stanford NLP toolkit (Manning et al., 2014) for parsing and coreference resolution. A head … Cited by 13 Related articles All 8 versions

Learning statistical scripts with LSTM recurrent neural networks K Pichotta, RJ Mooney – … of the 30th AAAI Conference on …, 2015 – pdfs.semanticscholar.org … Entity models learn to predict verbs, entity IDs, and prepositions, where an entity ID is an integer identifying an argument’s entity according to a coreference resolution en- gine. … We use four metrics. Primarily, we 3We use version 3.3.1 of the Stanford CoreNLP system. … Cited by 13 Related articles All 5 versions

Aligning plot synopses to videos for story-based retrieval M Tapaswi, M Bäuml, R Stiefelhagen – International Journal of Multimedia …, 2015 – Springer … chain, we perform part-of-speech tagging on the sentences of the plot synopsis using the Stanford CoreNLP [2] software … Identity extraction from text To resolve pronouns and other character references (eg, sister, father, etc.), we perform coreference resolution [24] and cluster … Cited by 5 Related articles All 6 versions

An overview of biomolecular event extraction from scientific documents JA Vanegas, S Matos, F González… – … mathematical methods in …, 2015 – hindawi.com … Various text processing frameworks exist that support these tasks, among which the following stand out: NLTK (http://www.nltk.org/), Apache OpenNLP (https://opennlp.apache.org/), and Stanford CoreNLP (http://nlp.stanford.edu/software/corenlp.shtml) (Figure 2). … Cited by 3 Related articles All 9 versions

Description of the Odin Event Extraction Framework and Rule Language MA Valenzuela-Escárcega, G Hahn-Powell… – arXiv preprint arXiv: …, 2015 – arxiv.org … The design of Odin followed the simplicity principles promoted by other natural language processing toolkits, such as Stanford’s CoreNLP, which aim to “avoid over-design”, “do one thing well”, and have a user “up and running in ten minutes or less” [Manning et al., 2014]. … Cited by 2 Related articles All 5 versions

SemEval-2015 Task 8: SpaceEval J Pustejovsky, P Kordjamshidi, MF Moens… – Proceedings of the 9th …, 2015 – aclweb.org … 5 HRIJP-CRF-VW A system using a CRF model us- ing CoreNLP,(Manning et al., 2014), CRF- Suite (Okazaki, 2007) and … of informa- tion extraction tasks (Fei Huang et al., 2014), such as named entity recognition (Vilain et al., 2009b) or coreference resolution (Fernandes et al … Cited by 8 Related articles All 10 versions

Mocking ads through mobile web services L Gatti, M Guerini, O Stock… – Computational …, 2015 – Wiley Online Library … image Figure 3. Sample input sentences after annotation with TextPro, CoreNLP, and Hilda. Download figure to PowerPoint. … 2013. Deterministic coreference resolution based on entity-centric, precision-ranked rules. Computational Linguistics 39(4): 1–54. … Cited by 1 Related articles All 2 versions

Seed, a natural language interface to knowledge bases B Eldesouky, H Maus, S Schwarz, A Dengel – International Conference on …, 2015 – Springer … NLP API. This component is implemented as a Java service which builds on two state-of-the-art NLP toolkits; Stanford CoreNLP [ 14 ] and Apache OpenNLP [ 1 ]. It can perform major NLP tasks such as named entity recognition, coreference resolution and relation extraction. … Cited by 2 Related articles

Dropped Pronoun Recovery in Chinese SMS C Giannella, R Winder, S Petersen – mitre.org Page 1. Approved for Public Release 15-3236; ©2015-The MITRE Corporation. All rights reserved. 1 Dropped Pronoun Recovery in Chinese SMS Chris Giannella and Ransom Winder The MITRE Corporation 7515 Colshire Drive McLean, VA 22102, USA … Related articles All 4 versions

Representing Films as Character Graphs V Dumitrescu – project-archive.inf.ed.ac.uk … The classification of tokens into one of these categories is based on their Stanford Typed Dependencies [14], assigned using the Stanford CoreNLP natural language analysis toolkit1. … 1www.nlp.stanford.edu/software/corenlp.shtml Page 17. 2.1. Background work 17 …

PKDE4J: Entity and relation extraction for public knowledge discovery M Song, WC Kim, D Lee, GE Heo, KY Kang – Journal of biomedical …, 2015 – Elsevier … framework. Starting with the Stanford CoreNLP, we developed the system to cope with multiple types of entities and relations. … text. PKDE4J extends the Stanford CoreNLP [1] and is publicly available at http://informatics.yonsei.ac.kr/pkde4j. … Cited by 11 Related articles All 5 versions

Health Analytics and Predictive Modeling: Four Essays on Health Informatics YK Lin – 2015 – arizona.openrepository.com Page 1. HEALTH ANALYTICS AND PREDICTIVE MODELING: FOUR ESSAYS ON HEALTH INFORMATICS by Yu-Kai Lin _____ A Dissertation Submitted to the Faculty of the DEPARTMENT OF MANAGEMENT INFORMATION SYSTEMS … Related articles

RST-style discourse parsing and its applications in discourse analysis VW Feng – 2015 – cs.toronto.edu Page 1. RST-Style Discourse Parsing and Its Applications in Discourse Analysis by Vanessa Wei Feng A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Graduate Department of Computer Science University of Toronto … Cited by 8 Related articles All 17 versions

Singleton detection using semantic word vectors and neural networks H Haagsma – 2015 – let.rug.nl … 9 1.3.1 Detection of non-referential it . . . . . 9 1.3.2 Other mention filtering systems . . . . . 13 1.3.3 The effect of mention filtering on coreference resolution 14 1.3.4 Mention detection and filtering in coreference resolution systems . . . . . …

Overview of the cancer genetics and pathway curation tasks of bionlp shared task 2013 S Pyysalo, T Ohta, R Rak… – BMC …, 2015 – bmcbioinformatics.biomedcentral. … Skip to main content. Advertisement. Biomed Central logo Menu. Search Search. Publisher main menu. … Cited by 5 Related articles All 9 versions

Higher-order lexical semantic models for non-factoid answer reranking D Fried, P Jansen, G Hahn-Powell… – Transactions of the …, 2015 – tacl2013.cs.columbia.edu … (2012) use a similar approach for coreference resolution. … Using POS tags generated by Stan- ford’s CoreNLP (Manning et al., 2014), we fil- tered content to only include nouns, adjectives, verbs, and adverbs for the word-based models, and tuples where both words have one of … Cited by 6 Related articles All 14 versions

A Computational Approach for Generating Toulmin Model Argumentation P Reisert, N Inoue, N Okazaki, K Inui – NAACL HLT 2015, 2015 – aclweb.org … We parse each document using Stanford CoreNLP [9] in order to acquire both dependency, named entity, and coreference resolu- tion features. In the case of coreference resolution, in order to reduce parsing time, the search distance was restricted to the previous two … Related articles All 9 versions

The conll-2015 shared task on shallow discourse parsing N Xue, HT Ng, S Pradhan, RPOC Bryant… – Proceedings of …, 2015 – aclweb.org … the past two decades, pro- gressing gradually to tackle phenomena at the word and phrase level phenomena and then the sentence and extra-sentential level, it was only very recently that discourse level processing has been addressed, with coreference resolution (Prad- han … Cited by 36 Related articles All 8 versions

Representing meaning with a combination of logical form and vectors I Beltagy, S Roller, P Cheng, K Erk… – arXiv preprint arXiv: …, 2015 – arxiv.org … MLNs have been used for various NLP applications including unsupervised coreference resolution (Poon and Domingos 2008), semantic role labeling (Riedel and Meza-Ruiz 2008) and event extraction (Riedel et al. 2009). 2.5 Recognizing Textual Entailment … Cited by 5 Related articles All 5 versions

Linking Event References in Online News Streams to a Global Repository I Shevchenko – 2015 – it4bi.univ-tours.fr … knowledge repositories [95]. Information extraction usually includes such tasks as: • Named entity recognition; • Coreference resolution; • Relations extraction; • Event extraction. Page 20. 11 2.2 Open-Domain Information Extraction … Related articles

Deepnl: a deep learning nlp pipeline G Attardi – Proceedings of NAACL-HLT, 2015 – anthology.aclweb.org … learning library writ- ten in Java that supports the most common NLP tasks, such as tokenization, sentence segmenta- tion, POS tagging, named entity extraction, chunking, parsing, and coreference resolution. … 2014. The Stanford CoreNLP Natural Language Processing Toolkit. … Cited by 7 Related articles All 9 versions

Implementation of a Natural Language Processing Tool for CyberPhysical Systems A Diedrich – researchgate.net … Abstract In this thesis the implementation of a natural language processing tool using the Stanford CoreNLP framework is described. … The most suitable framework was the Stanford CoreNLP (referred to CoreNLP from hereon) toolkit, which provides the most 2 HS OWL Page 19. … Related articles

Resource Construction and Evaluation for Indirect Opinion Mining of Drug Reviews S Noferesti, M Shamsfard – PloS one, 2015 – journals.plos.org … Then we performed tokenization, lemmatization and POS tagging on each sentence using Stanford CoreNLP tools. Finally, exploiting the Stanford coreference resolution [45], we replaced each resolved pronoun with the origin term that it refers to. … Cited by 1 Related articles All 8 versions

TimeMachine: Timeline generation for knowledge-base entities T Althoff, XL Dong, K Murphy, S Alai, V Dang… – Proceedings of the 21th …, 2015 – dl.acm.org … We compute these quantities as follows: 1. We run a suite of standard NLP tools (named entity recog- nition, coreference resolution, etc.) over a large corpus of 10B web documents using a set of in-house tools, similar to the Stanford CoreNLP package.3 We extract entity men … Cited by 3 Related articles All 11 versions

People-Centric Natural Language Processing D Bamman – 2015 – lti.cs.cmu.edu … 7 human-created reference corpus in the Penn Treebank (Marcus et al., 1993); other tasks like coreference resolution have set evaluation corpora such as OntoNotes (Hovy et al., 2006) … past for two standard NLP tasks: named entity recognition and coreference resolution. In … Cited by 3 Related articles All 4 versions

Review on Techniques and Tools used for Opinion Mining A Dhokrat, B Ambedkar, S Khillare, CN Mahender – ijcat.com … Table 2. List of available tools Name of Tools Uses STANFORD CORENLP [7] POS tagging, Named entity recognizer, Parsing, Coreference resolution system, Sentiment analysis, Bootstrapped pattern learning WEKA [8] Machine learning algorithm for Data Mining, Data pre … Related articles All 2 versions

Finding Implicit Citations in Scientific Publications: Improvements to Citation Context Detection Methods J Murray – 2015 – diva-portal.org Page 1. DEGREE PROJECT, IN , SECOND LEVEL COMPUTER SCIENCE STOCKHOLM, SWEDEN 2015 Finding Implicit Citations in Scientific Publications IMPROVEMENTS TO CITATION CONTEXT DETECTION METHODS JONATHAN MURRAY … Related articles

Scaling Up Content Analysis: Crowd-Coding Text Units N Adams – Available at SSRN 2617222, 2015 – papers.ssrn.com Page 1. Electronic copy available at: http://ssrn.com/abstract=2617222 SCALING UP CONTENT ANALYSIS: CROWD-CODING TEXT UNITS NICHOLAS B. ADAMS INTRODUCTION Terabytes of textual data are being digitized and made available every day. But until now, … Related articles All 2 versions

Framing QA as Building and Ranking Intersentence Answer Justifications P Jansen, R Sharp, M Surdeanu, P Clark – pdfs.semanticscholar.org … Formally, we transform sentences into graphlets using the following algorithm: 1. Parse knowledge base sentences: All knowledge base sentences are syntactically parsed using the Stanford CoreNLP toolkit (Manning et al. 2014). … Related articles All 2 versions

Context-specific Consistencies in Information Extraction P Klügl – opus.uni-wuerzburg.de Page 1. P eter Klügl Context-specific Consistencies in Information Extraction Peter Klügl Rule-based and Probabilistic Approaches C ontext-specific C on sistencies in Inform ation Extraction Page 2. Peter Klügl Context-specific Consistencies in Information Extraction Page … Related articles All 4 versions

[BOOK] Context-specific Consistencies in Information Extraction: Rule-based and Probabilistic Approaches P Klügl – 2015 – books.google.com Page 1. Peter Klüg Context-specific Consistencies in Information Extraction Rule-based and Probabilistic Approaches [5] S. Anzaroot and A. McCallum. New Dataset for Fine-Grained Citation xtraction. In ICML Workshop on Peer Reviewing and Publishing Models (PEER), 2013. … Related articles All 5 versions

Data Gathering, Preparation and Enrichment M Rodrigues, A Teixeira – … Applications of Natural Language Processing for …, 2015 – Springer … NLP tasks such as tokenization, sentence segmentation, part-of-speech tagging, named entity recognition, parsing, coreference resolution, and relation … 189. Manning CD, Surdeanu M, Bauer J, Finkel J, Bethard SJ, McClosky D (2014) The Stanford CoreNLP natural language … Related articles

Learning Dynamic Feature Selection for Fast Sequential Prediction E Strubell, L Vilnis, K Silverstein… – arXiv preprint arXiv: …, 2015 – arxiv.org … a greedy manner. For exam- ple, the Stanford CoreNLP classifier-based part- of-speech tagger provides a 6.5x speed advantage over their dynamic programming-based model, with little reduction in accuracy. Because our … Cited by 6 Related articles All 9 versions

[BOOK] Natural language processing with Java RM Reese – 2015 – books.google.com … relationships 187 Using NLPAPIs 188 Using OpenNLP 188 Using the Stanford API 191 Using the LexicalizedParser class 192 Using the TreePrint class 193 Finding word dependencies using the GrammaticalStructure class 194 Finding coreference resolution entities 196 … Cited by 2 Related articles All 2 versions

Parsing Algebraic Word Problems into Equations R Koncel-Kedziorski, H Hajishirzi… – Transactions of the …, 2015 – tacl.cs.columbia.edu … An ordinary child has to learn the required alge- bra, but will easily grasp the narrative utilizing ex- tensive world knowledge, large vocabulary, word- sense disambiguation, coreference resolution, mas- tery of syntax, and the ability to combine individual … Cited by 10 Related articles All 10 versions

A Study of Concept Extraction Across Different Types of Clinical Notes Y Kim, E Riloff, JF Hurdle – AMIA Annual Symposium Proceedings, 2015 – ncbi.nlm.nih.gov … Evaluating the state of the art in coreference resolution for electronic medical records. … Manning C, Surdeanu M, Bauer J, Finkel J, Bethard S, McClosky D. The Stanford CoreNLP Natural Language Processing Toolkit; Proc 52nd ACL: System Demonstrations; 2014. pp. 55–60. … Related articles All 4 versions

Book2movie: Aligning video scenes with book chapters M Tapaswi, M Bauml… – Proceedings of the IEEE …, 2015 – cv-foundation.org … They are our major source of attribute labels (see Sec. 6). We process the en- tire book with part-of-speech tagging using the Stanford CoreNLP [2] toolbox. This provides us with the necessary adjective tags for extracting descriptions. 4. Aligning book chapters to video scenes … Cited by 15 Related articles All 11 versions

Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning I Augenstein, A Vlachos… – Proceedings of the 2015 …, 2015 – eprints.whiterose.ac.uk … in this pa- per are available online via http://tinyurl.com/ o8ykn4y 4http://jsoup.org 5http://nlp.stanford.edu/software/corenlp.shtml … These issues can be overcome by per- forming coreference resolution (Augenstein et al., 2014; Koch et al., 2014), by retrieving more Web pages … Cited by 3 Related articles All 13 versions

Weakly-supervised alignment of video with text P Bojanowski, R Lajugie, E Grave, F Bach… – Proceedings of the …, 2015 – cv-foundation.org Page 1. Weakly-Supervised Alignment of Video With Text P. Bojanowski1,? R. Lajugie1,† E. Grave2,‡ F. Bach1,† I. Laptev1,? J. Ponce3,? C. Schmid1,§ 1INRIA 2Columbia University 3ENS / PSL Research University Abstract … Cited by 17 Related articles All 21 versions

KnowLife: a versatile approach for constructing a large knowledge graph for biomedical sciences P Ernst, A Siu, G Weikum – BMC bioinformatics, 2015 – bmcbioinformatics.biomedcentral. … … We use the Stanford CoreNLP software to preprocess all texts, such that they are tokenized, split into sentences, tagged with parts-of-speech, lemmatized, and parsed into syntactic dependency graphs. Table 2 Overview of KnowLife’s input corpus. Genre. Source. Documents. … Cited by 3 Related articles All 13 versions

An effective approach for relevant paragraph retrieval in Question Answering systems MM Hoque, P Quaresma – Computer and Information …, 2015 – ieeexplore.ieee.org … 1, 2002. [15] CD Manning, S. Mihai, B., John, Finkel, Jenny, Bethard, J, Steven, and D. McClosky, ‘The Stanford CoreNLP Natural Language Processing Toolkit’. … [17] E. Bengtson and D. Roth, ‘Understanding the Value of Features for Coreference Resolution’. EMNLP, 2008. …

[BOOK] Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings A Gelbukh – 2015 – books.google.com Page 1. Alexander Gelbukh (Ed.) Computational Linguistics and Intelligent Text Processing 16th International Conference, CICLing 2015 Cairo, Egypt, April 14–20, 2015 Proceedings, Part II 123 Page 2. Lecture Notes in Computer … Related articles All 2 versions

[BOOK] Domain Corpora as a Source of Information M Marciniak – 2015 – phd.ipipan.waw.pl … IE also includes terminology extraction which is aimed at recognition vocabulary and phrases typical to a domain. Finally, coreference resolution is also considered as an IE task; the problem concerns linking text entities describing the same objects in the real world. … Related articles All 2 versions

Automatic gloss finding for a knowledge base using ontological constraints B Dalvi, E Minkov, PP Talukdar… – Proceedings of the Eighth …, 2015 – dl.acm.org Page 1. Automatic Gloss Finding for a Knowledge Base using Ontological Constraints Bhavana Dalvi Carnegie Mellon University Pittsburgh, PA 15213 bbd@cs.cmu.edu Einat Minkov University of Haifa Haifa, Israel, 31905 einatm@is.haifa.ac.il … Cited by 15 Related articles All 16 versions

INDREX: In-database relation extraction T Kilias, A Löser, P Andritsos – Information Systems, 2015 – Elsevier … RDBMS. For example, we apply language depended taggers from the Stanford CoreNLP pipeline 1 over these documents, including sentence taggers, shallow and deep syntax taggers and the Stanford 7-Class NER tagger. … Cited by 1 Related articles All 5 versions

[BOOK] Advanced Applications of Natural Language Processing for Performing Information Extraction MJF Rodrigues, AJ da Silva Teixeira – 2015 – Springer Page 1. 123 Mário Rodrigues António Teixeira Advanced Applications of Natural Language Processing for Performing Information Extraction SPRINGER BRIEFS IN ELECTRICAL AND COMPUTER ENGINEERING SPEECH TECHNOLOGY Page 2. … Related articles All 4 versions

Using Linked Data for polarity classification of patients’ experiences S Noferesti, M Shamsfard – Journal of biomedical informatics, 2015 – Elsevier … For each textual content, we first use the Stanford CoreNLP 5 to detect sentences. Subsequently, we perform tokenization, lemmatization, POS tagging, dependency parsing, and shallow parsing for each sentence. Exploiting the Standford coreference resolution, we replace … Cited by 1 Related articles All 5 versions

Using Part-of-Speech Tags as Deep-Syntax Indicators in Determining Short-Text Semantic Similarity V Batanovi?, D Boji? – Computer Science and Information Systems, 2015 – elib.mi.sanu.ac.rs … For text preprocessing we used the Stanford CoreNLP package [30]. This suite encompasses many NLP tools, including a tokenizer, a sentence splitter, a lemmatizer, a POS tagger, a named entity recognizer, a dependency parser, and a coreference resolution tool. … Cited by 2 Related articles All 6 versions

Refinements in Syntactic Parsing DLW Hall – 2015 – escholarship.org … processing, with many appli- cations in downstream NLP tasks, from machine translation and summarization to relation extraction and coreference resolution. … of the corresponding release, namely the sentiment component in the latest version of the Stanford CoreNLP at the … Related articles All 5 versions

A Requirements Acquisition Tool Architecture for the Decision Back Approach to Social Media Big Data Capturing MA Alswilmi – 2015 – info.psu.edu.sa … 3.5.1. W*H Conceptual Model for Services ….. 32 3.5.2. Stanford CoreNLP Framework ….. 33 3.6. … 70 6.1. Stanford CoreNLP Tool ….. 71 … Related articles