SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity

*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics

Volumn 1, Issue , 2013, Pages 194-201

  Jimenez, Sergio ^a   Becerra, Claudia ^a   Gelbukh, Alexander ^b  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

^b INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

CARDINALITIES; GOLD STANDARDS; PLAIN TEXT; SIMILARITY MEASURE; TEST DATA; TEXTUAL SIMILARITIES; WORD SIMILARITY;

SEMANTICS;

EID: 84977963367     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Eneko Agirre, Enrique Alfonseca, Keith Hall, Jana Kravalova, Marius Pasca, and Aitor Soroa. 2009. A study on similarity and relatedness using distributional and WordNet-based approaches. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL’09, pages 19–27, Stroudsburg, PA, USA. Association for Computational Linguistics.
2. Eneko Agirre, Daniel Cer, Mona Diab, and Gonzalez-Agirre Aitor. 2012. SemEval-2012 task 6: A pilot on semantic textual similarity. In Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval@∗SEM 2012), Montreal,Canada. Association for Computational Linguistics.
3. 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. Atlanta, Georgia, USA. Association for Computational Linguistics.
4. Daniel B r, Chris Biemann, Iryna Gurevych, and Torsten Zesch. 2012. UKP: computing semantic textual similarity by combining multiple content similarity measures. In Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval ∗SEM 2012), Montreal, Canada. Association for Computational Linguistics.
5. Marco Baroni, Silvia Bernardini, Adriano Ferraresi, and Eros Zanchetta. 2009. The WaCky wide web: a collection of very large linguistically processed web-crawled corpora. Language resources and evaluation, 43(3):209–226.
6. Danushka Bollegala, Yutaka Matsuto, and Mitsuru Ishizuka. 2007. Measuring semantic similarity between words using web search engines. In Proceedings of the 16th international conference on World Wide Web, WWW’07, pages 757–766, New York, NY, USA. ACM.
7. Leo Breiman. 1996. Bagging predictors. Machine Learning, 24(2):123–140.
8. Mark Hall, Frank Eibe, Geoffrey Holmes, and Bernhard Pfahringer. 2009. The WEKA data mining software: An update. SIGKDD Explorations, 11(1):10–18.
9. Sergio Jimenez and Alexander Gelbukh. 2012. Baselines for natural language processing tasks. Appl. Comput. Math., 11(2):180–199.
10. Sergio Jimenez, Fabio Gonzalez, and Alexander Gelbukh. 2010. Text comparison using soft cardinality. In Edgar Chavez and Stefano Lonardi, editors, String Processing and Information Retrieval, volume 6393 of LNCS, pages 297–302. Springer, Berlin, Heidelberg.
11. Sergio Jimenez, Claudia Becerra, and Alexander Gelbukh. 2012. Soft cardinality: A parameterized similarity function for text comparison. In Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval ∗SEM 2012), Montreal, Canada.
12. Karen Sp rck Jones. 2004. A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation, 60(5):493–502, October.
13. Michael D Lee, B.M. Pincombe, and Matthew Welsh. 2005. An empirical evaluation of models of text document similarity. IN COGSCI2005, pages 1254–1259.
14. Vladimir I. Levenshtein. 1966. Binary codes capable of correcting deletions, insertions, and reversals. Soviet Physics Doklady, 10(8):707–710.
15. Rada Mihalcea, Courtney Corley, and Carlo Strapparava. 2006. Corpus-based and knowledge-based measures of text semantic similarity. In In AAAI’06, pages 775–780.
16. Ted Pedersen, Siddharth Patwardhan, and Jason Miche-lizzi. 2004. WordNet::Similarity: measuring the relatedness of concepts. In Proceedings HLT-NAACL–Demonstration Papers, Stroudsburg, PA, USA. Association for Computational Linguistics.
17. Martin Porter. 1980. An algorithm for suffix stripping. Program, 3(14):130–137, October.
18. Phillip Resnik. 1999. Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language. Journal of Artificial Intelligence Research, 11:95–130.
19. Herbert Rubenstein and John B. Goodenough. 1965. Contextual correlates of synonymy. Commun. ACM, 8(10):627–633, October.
20. Frane aric, Goran Glava, Mladen Karan, Jan najder, and Bojana Dalbelo Ba ic. 2012. TakeLab: systems for measuring semantic text similarity. In Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval ∗SEM 2012), Montreal, Canada. Association for Computational Linguistics.
21. Peter D. Turney. 2001. Mining the web for synonyms: PMI-IR versus LSA on TOEFL. In Luc De Raedt and Peter Flach, editors, Machine Learning: ECML 2001, number 2167 in Lecture Notes in Computer Science, pages 491–502. Springer Berlin Heidelberg, January.
22. Amos Tversky. 1977. Features of similarity. Psychological Review, 84(4):327–352, July.
23. I.H. Witten and E. Frank. 2005. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann Publishers Inc., San Francisto, CA, 2nd edition.