SVO triple based Latent Semantic Analysis for recognising textual entailment
Burek G, Pietsch C, De Roeck A (2007)
In: Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (WTEP). Association for Computational Linguistics: 113-118.
Konferenzbeitrag
| Veröffentlicht | Englisch
Autor*in
Burek, Gaston;
Pietsch, ChristianUniBi 
;
De Roeck, Anne
;
De Roeck, AnneEinrichtung
Abstract / Bemerkung
Latent Semantic Analysis has only recently been applied to textual entailment recognition. However, these efforts have suffered from inadequate bag of words vector representations. Our prototype implementation for the Third Recognising Textual Entailment Challenge (RTE-3) improves the approach by applying it to vector representations that contain semi-structured representations of words. It uses variable size n-grams of word stems to model independently verbs, subjects and objects displayed in textual statements. The system performance shows positive results and provides insights about how to improve them further.
Stichworte
recognizing textual entailment;
shared task;
latent semantic analysis;
LSA;
WTEP;
RTE
Erscheinungsjahr
2007
Titel des Konferenzbandes
Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (WTEP)
Seite(n)
113-118
Konferenz
45th Annual Meeting of the Association of Computational Linguistics (ACL 2007)
Konferenzort
Prague, Czech Republic
Konferenzdatum
2007-06-28
Page URI
https://pub.uni-bielefeld.de/record/1997547
Zitieren
Burek G, Pietsch C, De Roeck A. SVO triple based Latent Semantic Analysis for recognising textual entailment. In: Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (WTEP). Association for Computational Linguistics; 2007: 113-118.
Burek, G., Pietsch, C., & De Roeck, A. (2007). SVO triple based Latent Semantic Analysis for recognising textual entailment. Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (WTEP), 113-118. Association for Computational Linguistics. https://doi.org/10.3115/1654536.1654559
Burek, Gaston, Pietsch, Christian, and De Roeck, Anne. 2007. “SVO triple based Latent Semantic Analysis for recognising textual entailment”. In Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (WTEP), 113-118. Association for Computational Linguistics.
Burek, G., Pietsch, C., and De Roeck, A. (2007). “SVO triple based Latent Semantic Analysis for recognising textual entailment” in Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (WTEP) (Association for Computational Linguistics), 113-118.
Burek, G., Pietsch, C., & De Roeck, A., 2007. SVO triple based Latent Semantic Analysis for recognising textual entailment. In Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (WTEP). Association for Computational Linguistics, pp. 113-118.
G. Burek, C. Pietsch, and A. De Roeck, “SVO triple based Latent Semantic Analysis for recognising textual entailment”, Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (WTEP), Association for Computational Linguistics, 2007, pp.113-118.
Burek, G., Pietsch, C., De Roeck, A.: SVO triple based Latent Semantic Analysis for recognising textual entailment. Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (WTEP). p. 113-118. Association for Computational Linguistics (2007).
Burek, Gaston, Pietsch, Christian, and De Roeck, Anne. “SVO triple based Latent Semantic Analysis for recognising textual entailment”. Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (WTEP). Association for Computational Linguistics, 2007. 113-118.
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