Abstract
In this paper we present the use of a "general purpose" textual entailment recognizer in the Answer Validation Exercise (AVE) task. Our system is designed to learn entailment rules from annotated examples. Its main feature is the use of Support Vector Machines (SVMs) with kernel functions based on cross-pair similarity between entailment pairs. We experimented with our system using different training sets: RTE and AVE data sets. The comparative results show that entailment rules can be learned. Although, the high variability of the outcome prevents us to derive definitive conclusions, the results show that our approach is quite promising and improvable in the future.
| Original language | English |
|---|---|
| Title of host publication | Evaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers |
| Pages | 510-517 |
| Number of pages | 8 |
| Publication status | Published - 1 Dec 2007 |
| Event | 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006 - Alicante, Spain Duration: 20 Sep 2006 → 22 Sep 2006 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4730 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006 |
|---|---|
| Country | Spain |
| City | Alicante |
| Period | 20/9/06 → 22/9/06 |
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ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
Zanzotto, F. M., & Moschitti, A. (2007). Experimenting a "general purpose" textual entailment learner in AVE. In Evaluation of Multilingual and Multi-modal Information Retrieval - 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Revised Selected Papers (pp. 510-517). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4730 LNCS).