Abstract
This paper discusses the participation of the University of Alicante in the Answer Validation Exercise (AVE) track. First, the proposed system uses a set of regular expressions in order to join the question and the answer into a declarative sentence, and afterwards applies several lexical-semantic inferences to attempt to detect whether the meaning of this sentence can be inferred by the meaning of the supporting text. Throughout the paper, we describe a basic system configuration and how it is enriched by the addition of semantic constraints. Moreover, we want to apply special emphasis to the language-independent capabilities of some system components. As a result, we were able to apply our techniques over both Spanish and English corpora achieving the first and second position in the AVE ranking.
Keywords
- Regular Expression
- Question Answering
- Computational Linguistics
- Semantic Constraint
- Declarative Sentence
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Ferrández, Ó., Muñoz, R., Palomar, M. (2009). Studying the Influence of Semantic Constraints in AVE. In: Peters, C., et al. Evaluating Systems for Multilingual and Multimodal Information Access. CLEF 2008. Lecture Notes in Computer Science, vol 5706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04447-2_55
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DOI: https://doi.org/10.1007/978-3-642-04447-2_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04446-5
Online ISBN: 978-3-642-04447-2
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