SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity

8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings

Volumn , Issue , 2014, Pages 560-565

  Banea, Carmen ^a   Chen, Di ^a   Mihalcea, Rada ^a   Cardie, Claire ^b   Wiebe, Janyce ^c  

^a UNIVERSITY OF MICHIGAN   (United States)

^b Department of Obstetrics Gynecology   (United States)

^c UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; SEMANTICS;

COMPETING SYSTEMS; CORPUS-BASED MEASURES; CROSS LEVELS; EMBEDDINGS; KNOWLEDGE BASED; LEARNING PARADIGMS; META-LEARNING FRAMEWORKS; PARTICIPATING SYSTEMS; PERFORMANCE; TRADITIONAL KNOWLEDGE;

KNOWLEDGE BASED SYSTEMS;

EID: 84963716749     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (33)

1. Eneko Agirre, Daniel Cer, Mona Diab, and Aitor Gonzalez-Agirre. 2012. SemEval-2012 Task 6: A pilot on semantic textual similarity. In Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval 2012), in conjunction with the First Joint Conference on Lexical and Computational Semantics (*SEM 2012), Montreal, Canada.
2. Eneko Agirre, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, and Weiwei Guo. 2013. *SEM 2013 Shared Task: Semantic Textual Similarity, including a Pilot on Typed-Similarity. In The Second Joint Conference on Lexical and Computational Semantics (*SEM 2013).
3. Daniel Bär, Torsten Zesch, and Iryna Gurevych. 2013. DKPro Similarity: An open source framework for text similarity. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 121–126, Sofia, Bulgaria.
4. Curt Burgess, Kay Livesay, and Kevin Lund. 1998. Explorations in context space: words, sentences, discourse. Discourse Processes, 25(2):211–257.
5. Kenneth Church and Patrick Hanks. 1990. Word association norms, mutual information, and lexicography. Computational Linguistics, 16(1):22–29.
6. Evgeniy Gabrilovich and Shaul Markovitch. 2007. Computing semantic relatedness using Wikipedia-based explicit semantic analysis. In Proceedings of the 20th International Joint Conference on Artificial Intelligence, pages 1606–1611, Hyderabad, India.
7. Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H. Witten. 2009. The WEKA Data Mining Software: An Update. SIGKDD Explorations, 11(1).
8. Samer Hassan and Rada Mihalcea. 2011. Measuring semantic relatedness using salient encyclopedic concepts. Artificial Intelligence, Special Issue.
9. Thad Hughes and Daniel Ramage. 2007. Lexical semantic knowledge with random graph walks. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, Prague, Czech Republic.
10. Aminul Islam and Diana Zaiu Inkpen. 2006. Second order co-occurrence PMI for determining the semantic similarity of words. In Proceedings of the Fifth Conference on Language Resources and Evaluation, volume 2, pages 1033–1038, Genoa, Italy, July.
11. Mario Jarmasz and Stan Szpakowicz. 2003. Roget’s thesaurus and semantic similarity. In Proceedings of the conference on Recent Advances in Natural Language Processing RANLP-2003, Borovetz, Bulgaria, September.
12. Jay J. Jiang and David W. Conrath. 1997. Semantic similarity based on corpus statistics and lexical taxonomy. In Proceeding of the International Conference Research on Computational Linguistics (RO-CLING X), Taiwan.
13. David Jurgens, Mohammad Taher Pilehvar, and Roberto Navigli. 2014. SemEval-2014 Task 3: Cross-Level Semantic Similarity. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval-2014), Dublin, Ireland.
14. Thomas K. Landauer and Susan T. Dumais. 1997. A solution to plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104.
15. Claudia Leacock and Martin Chodorow. 1998. Combining local context and WordNet sense similarity for word sense identification. In WordNet, An Electronic Lexical Database. The MIT Press.
16. Michael E. Lesk. 1986. Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from an ice cream cone. In Proceedings of the SIGDOC Conference 1986, Toronto, June.
17. Chin-Yew Lin and Eduard Hovy. 2003. Automatic evaluation of summaries using n-gram co-occurrence statistics. In Proceedings of Human Language Technology Conference (HLT-NAACL 2003), Edmonton, Canada, May.
18. Dekang Lin. 1998. An information-theoretic definition of similarity. In Proceedings of the Fifteenth International Conference on Machine Learning, pages 296–304, Madison, Wisconsin.
19. Rada Mihalcea, Courtney Corley, and Carlo Strapparava. 2006. Corpus-based and knowledge-based measures of text semantic similarity. In American Association for Artificial Intelligence (AAAI-2006), Boston, MA.
20. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a. Distributed Representations of Words and Phrases and their Compositionality . In NIPS, pages 3111–3119.
21. Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. 2013b. Linguistic regularities in continuous space word representations. In NAACL HLT, pages 746–751, Atlanta, GA, USA.
22. George A. Miller. 1995. WordNet: a Lexical database for English. Communications of the Association for Computing Machinery, 38(11):39–41.
23. Rao Muhammad Adeel Nawab, Mark Stevenson, and Paul Clough. 2011. External plagiarism detection using information retrieval and sequence alignment: Notebook for PAN at CLEF 2011. In Proceedings of the 5th International Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse (PAN 2011).
24. Kishore. Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: A method for automatic evaluation of machine translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 311–318, Philadelphia, PA.
25. Fabian Pedregosa, Gaël Varoquaux, Alexandre Gram-fort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, and Édouard Duchesnay. 2011. Scikit-learn: Machine learning in Python. The Journal of Machine Learning Research, 12:2825–2830.
26. Radim Rehurek and Petr Sojka. 2010. Software framework for topic modelling with large corpora. In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pages 45–50, Valletta, Malta, May. ELRA.
27. Philip Resnik. 1995. Using information content to evaluate semantic similarity in a taxonomy. In Proceedings of the 14th International Joint Conference on Artificial Intelligence, pages 448–453, Montreal, Quebec, Canada. Morgan Kaufmann Publishers Inc.
28. J. Rocchio, 1971. Relevance feedback in information retrieval. Prentice Hall, Ing. Englewood Cliffs, New Jersey.
29. 1995. Roget’s II: The New Thesaurus. Houghton Mifflin.
30. Gerard Salton and Michael E. Lesk, 1971. The SMART Retrieval System: Experiments in Automatic Document Processing, chapter Computer evaluation of indexing and text processing. Prentice Hall, Ing. Englewood Cliffs, New Jersey.
31. Gerard Salton, Amit Singhal, Mandar Mitra, and Chris Buckley. 1997. Automatic text structuring and summarization. Information Processing and Management, 2(32).
32. Hinrich Schutze. 1998. Automatic word sense discrimination. Computational Linguistics, 24(1):97–124.
33. Peter D. Turney. 2001. Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL. In Proceedings of the 12th European Conference on Machine Learning (ECML’01), pages 491–502, Freiburg, Germany.