Statistical machine translation based passage retrieval
نویسندگان
چکیده
In this paper, we apply the statistical machine translation based passage retrieval, which was proposed at the last NTCIR-6 CLQA subtask, to the IR4QA Task. The experimental evaluation shows that the method is more effective for the relation and event type questions, which are longer and including relatively mane common keywords, than the definition and biography type questions, which are shorter and often including only named entities.
منابع مشابه
Statistical Machine Translation based Passage Retrieval - Experiment at NTCIR-7 IR4QA Task
In this paper, we apply the statistical machine translation based passage retrieval, which was proposed at the last NTCIR-6 CLQA subtask, to the IR4QA Task. The experimental evaluation shows that the method is more effective for the relation and event type questions, which are longer and including relatively mane common keywords, than the definition and biography type questions, which are short...
متن کاملStatistical Machine Translation based Passage Retrieval for Cross-Lingual Question Answering
In this paper, we propose a novel approach for Cross-Lingual Question Answering (CLQA). In the proposed method, the statistical machine translation (SMT) is deeply incorporated into the question answering process, instead of using it as the pre-processing of the mono-lingual QA process as in the previous work. The proposed method can be considered as exploiting the SMT-based passage retrieval f...
متن کاملStatistical Machine Translation based Passage Retrieval for Cross-Lingual Question Answering --- Experiments at NTCIR-6
In this paper, we propose a novel approach for Cross-Lingual Question Answering (CLQA), where the statistical machine translation (SMT) is utilized. In the proposed method, the SMT is deeply incorporated into the question answering process, instead of using it as the pre-processing of the mono-lingual QA process as in the previous work. The proposed method can be considered as exploiting the SM...
متن کاملPassage Retrieval Using Answer Type Profiles in Question Answering
Retrieving answer containing passages is a challenging task in Question Answering. In this paper, we describe a novel passage retrieval methodology using answer type profiles. Our methodology includes two steps: estimation and ranking. In the estimation step, answer type profiles are constructed from question-answer sentence pairs parallel corpus using a statistical alignment model. Each answer...
متن کاملPassage-level Evidence for Cross-Language Information Retrieval
Machine translation (MT) techniques can be used to generate a query in a target language from a query in a source language for the cross-language information retrieval (CLIR). Recent MT systems have advanced enough to generate translations which are human-readable, However, translation error is still a serious impediment which hurts the effectiveness of a CLIR system. To compensate for defects ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008