NTT's CCLQA System for NTCIR-7 ACLIA
نویسندگان
چکیده
This paper describes our Complex Cross-Lingual Question Answering (CCLQA) system based on the technologies used in our past NTCIR systems for QAC and CLQA. We implemented a new rule-based English question analyzer to extract English query terms, which are translated into Japanese by translation dictionaries. For DEFINITION, BIOGRAPHY, and EVENT questions, we reused our definition module for QAC-4. For RELATIONSHIP questions, we developed a new module based on our why-QA approach for QAC-4. When these modules were not applicable, a simple sentence retriever was used. According to the organizers’ evaluation results, although our ENJA system performed rather poorly due to the low coverage of the translation dictionaries, our JA-JA system achieved the second best score among the four participants.
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