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- 814 creator leila-kosseim.
- 814 creator majid-razmara.
- 814 type InProceedings.
- 814 label "Answering List Questions using Co-occurrence and Clustering".
- 814 sameAs 814.
- 814 abstract "Although answering list questions is not a new research area, answering them automatically still remains a challenge. The median F-score of systems that participated in TREC 2007 Question Answering track is still very low (0.085) while 74% of the questions had a median F-score of 0. In this paper, we propose a novel approach to answering list questions. This approach is based on the hypothesis that answer instances of a list question co-occur in the documents and sentences related to the topic of the question. We use a clustering method to group the candidate answers that co-occur more often. To pinpoint the right cluster, we use the target and the question keywords as spies to return the cluster that contains these keywords.".
- 814 hasAuthorList authorList.
- 814 hasTopic Linguistics.
- 814 isPartOf proceedings.
- 814 keyword "Information Extraction, Information Retrieval".
- 814 keyword "Question Answering".
- 814 keyword "Statistical methods".
- 814 title "Answering List Questions using Co-occurrence and Clustering".