NTNU-CORE: Combining strong features for semantic similarity

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

Volumn 1, Issue , 2013, Pages 66-73

  Marsi, Erwin ^a   Moen, Hans ^a   Bungum, Lars ^a   Sizov, Gleb ^a   Gambäck, Björn ^a   Lynum, André ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE BASED SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; PATTERN MATCHING; REGRESSION ANALYSIS; TREES (MATHEMATICS);

GRAPH EDIT DISTANCE; LEVENSHTEIN DISTANCE; NAMED ENTITY RECOGNITION; SEMANTIC DEPENDENCY; SEMANTIC RELATIONS; SEMANTIC SIMILARITY; SUPPORT VECTOR REGRESSION MODELS; TEXTUAL SIMILARITIES;

SEMANTICS;

EID: 85006990229     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. Agirre, E., Cer, D., Diab, M., and Gonzalez-Agirre, A. (2012). SemEval-2012 Task 6: A pilot on semantic textual similarity. In ∗SEM (2012), pages 385–393.
2. Agirre, E., Cer, D., Diab, M., Gonzalez-Agirre, A., and Guo, W. (2013). ∗SEM 2013 Shared Task: Semantic textual similarity, including a pilot on typed-similarity. In ∗SEM 2013: The Second Joint Conference on Lexical and Computational Semantics. Association for Computational Linguistics.
3. Ahn, C. S. (2011). Automatically detecting authors’ native language. PhD thesis, Monterey, California. Naval Postgraduate School.
4. Banea, C., Hassan, S., Mohler, M., and Mihalcea, R. (2012). UNT: a supervised synergistic approach to semantic text similarity. In ∗SEM (2012), pages 635–642.
5. Bär, D., Biemann, C., Gurevych, I., and Zesch, T. (2012). UKP: Computing semantic textual similarity by combining multiple content similarity measures. In ∗SEM (2012), pages 435–440.
6. Bhagwani, S., Satapathy, S., and Karnick, H. (2012). sranjans: Semantic textual similarity using maximal weighted bipartite graph matching. In ∗SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012), pages 579–585, Montréal, Canada. Association for Computational Linguistics.
7. Cunningham, H., Maynard, D., Bontcheva, K., and Tablan, V. (2002). GATE: A framework and graphical development environment for robust NLP tools and applications. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 168–175, Philadelphia, Pennsylvania. ACL.
8. Deerwester, S., Dumais, S., Furnas, G., Landauer, T., and Harshman, R. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6):391–407.
9. Fundel, K., Küffner, R., and Zimmer, R. (2007). RelEx - Relation extraction using dependency parse trees. Bioinformatics, 23(3):365–371.
10. Gabrilovich, E. and Markovitch, S. (2007). Computing semantic relatedness using wikipedia-based explicit semantic analysis. In Proceedings of The Twentieth International Joint Conference for Artificial Intelligence., pages 1606–1611.
11. Hart, D. and Goertzel, B. (2008). Opencog: A software framework for integrative artificial general intelligence. In Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference, pages 468–472, Amsterdam, The Netherlands, The Netherlands. IOS Press.
12. Hassel, M. (2004). JavaSDM package.
13. Kanerva, P., Kristoferson, J., and Holst, A. (2000). Random indexing of text samples for latent semantic analysis. In Gleitman, L. and Josh, A., editors, Proceedings of the 22nd Annual Conference of the Cognitive Science Society, page 1036. Erlbaum.
14. Karlgren, J. and Sahlgren, M. (2001). From Words to Understanding. In Uesaka, Y., Kanerva, P., and Asoh, H., editors, Foundations of real-world intelligence, chapter 26, pages 294–311. Stanford: CSLI Publications.
15. Karnick, H., Satapathy, S., and Bhagwani, S. (2012). sranjans: Semantic textual similarity using maximal bipartite graph matching. In ∗SEM (2012), pages 579–585.
16. Kuhn, H. (1955). The Hungarian method for the assignment problem. Naval research logistics quarterly, 2:83–97.
17. Leacock, C. and Chodorow, M. (1998). Combining local context and WordNet similarity for word sense identification. WordNet: An electronic lexical . . . .
18. Levenshtein, V. I. (1966). Binary codes capable of correcting deletions, insertions and reversals. Soviet Physics Doklady, 10(8):707–710.
19. Nivre, J., Hall, J., and Nilsson, J. (2006). Maltparser: A data-driven parser-generator for dependency parsing. In In Proc. of LREC-2006, pages 2216–2219.
20. Reisinger, J. and Mooney, R. (2010). Multi-prototype vector-space models of word meaning. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, number June, pages 109–117.
21. Riesen, K. and Bunke, H. (2009). Approximate graph edit distance computation by means of bipartite graph matching. Image and Vision Computing, 27(7):950–959.
22. Røkenes, H. (2013). Graph-Edit Distance Applied to the Task of Detecting Plagiarism. Master’s thesis, Norwegian University of Science and Technology.
23. Sahlgren, M. (2005). An introduction to random indexing. In Methods and Applications of Semantic Indexing Workshop at the 7th International Conference on Terminology and Knowledge Engineering, TKE, volume 5.
24. Sahlgren, M., Holst, A., and Kanerva, P. (2008). Permutations as a Means to Encode Order in Word Space. Proceedings of the 30th Conference of the Cognitive Science Society.
25. Sari, F., Glavaš, G., Karan, M., Šnajder, J., and Basi, B. D. (2012). TakeLab: systems for measuring semantic text similarity. In ∗SEM (2012), pages 441–448.
26. ∗SEM (2012). Proceedings of the First Joint Conference on Lexical and Computational Semantics (∗SEM), volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation, Montreal, Canada. Association for Computational Linguistics.
27. Semeraro, G., Aldo, B., and Orabona, V. E. (2012). UNIBA: Distributional semantics for textual similarity. In ∗SEM (2012), pages 591–596.
28. Singh, J., Bhattacharya, A., and Bhattacharyya, P. (2012). janardhan: Semantic textual similarity using universal networking language graph matching. In ∗SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012), pages 662–666, Montréal, Canada. Association for Computational Linguistics.
29. Sokolov, A. (2012). LIMSI: learning semantic similarity by selecting random word subsets. In ∗SEM (2012), pages 543–546.
30. Tovar, M., Reyes, J., and Montes, A. (2012). BUAP: a first approximation to relational similarity measuring. In ∗SEM (2012), pages 502–505.
31. Vapnik, V., Golowich, S. E., and Smola, A. (1997). Support vector method for function approximation, regression estimation, and signal processing. In Mozer, M. C., Jordan, M. I., and Petsche, T., editors, Advances in Neural Information Processing Systems, volume 9, pages 281–287. MIT Press, Cambridge, Massachusetts.