An approach to Recognizing Textual Entailment and TE Search Task using SVM
This paper shows a Recognizing Textual Entailment System, and a sub-system that address the Textual Entailment Search Task. This system employs a Support Vector Machine classifier with a set of 32 features, which includes lexical and semantic similarity for both two-way and three-wa...
Kaydedildi:
| Yayımlandı: | Procesamiento del Lenguaje Natural |
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| Yazar: | |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Sociedad Española para el Procesamiento del Lenguaje Natural
2010
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| Konular: | |
| Online Erişim: | https://www.redalyc.org/articulo.oa?id=515751744023 |
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