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From Question Context To Answer Credibility: Modeling Semantic Structures For Question Answering Using Statistical Methods, Protima Banerjee, Hyoil Han
From Question Context To Answer Credibility: Modeling Semantic Structures For Question Answering Using Statistical Methods, Protima Banerjee, Hyoil Han
Hyoil Han
Within a Question Answering (QA) framework, Question Context plays a vital role. We define Question Context to be background knowledge that can be used to represent the user’s information need more completely than the terms in the query alone. This paper proposes a novel approach that uses statistical language modeling techniques to develop a semantic Question Context which we then incorporate into the Information Retrieval (IR) stage of QA. Our approach proposes an Aspect-Based Relevance Language Model as basis of the Question Context Model. This model proposes that the sparse vocabulary of a query can be supplemented with semantic information …