QUALIFIER In TREC-12 QA Main Task

نویسندگان

  • Grace Hui Yang
  • Hang Cui
  • Mstislav Maslennikov
  • Long Qiu
  • Min-Yen Kan
  • Tat-Seng Chua
چکیده

This paper describes a question answering system and its various models handling the definition, factoid and list questions defined in the TREC12 Main task. Specially, we model the factoid QA task as QA entities or Events. Each QA event comprises of elements describing different facets of the event like time, location, object, action etc. By analyzing the external knowledge to discover the QA event structure, we take the advantage of the inherent associations among QA elements to find the answers. Modules shared by all the subsystems, like fine-grained named entity recognition, anaphora resolution and canonicalization co-reference resolution are highlighted.

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تاریخ انتشار 2003