The Web as a Source of Evidence for Filtering Candidate Answers to Natural Language Questions
| Autor: | Ludovic Bonnefoy, Patrice Bellot, Michel Benoit |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Class (computer programming)
Hierarchy Information retrieval Computer science business.industry computer.software_genre Ranking (information retrieval) Named entity World Wide Web Entity linking Ranking Web page Question answering Language model Artificial intelligence business computer Natural language processing Natural language |
| Zdroj: | Web Intelligence |
| DOI: | 10.1109/wi-iat.2011.226 |
| Popis: | Identifying and extracting named entities from web pages has been the subject of many researches. In this paper, we propose and evaluate some new unsupervised language modeling approaches to determine the membership level of a candidate answer, a named entity, to a natural language question to a very fine-grained conceptual class of entity. We propose to address this issue by using the Web or DBPedia hierarchy as sources of evidence. Then, this level of membership can be used to improve the ranking of candidate answers in a question-answering task. Lastly, we present the results we obtained by participating in TREC 2010 Entity track. |
| Databáze: | OpenAIRE |
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