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Answer Credibility: A Language Modeling Approach To Answer Validation, Protima Banerjee, Hyoil Han
Answer Credibility: A Language Modeling Approach To Answer Validation, Protima Banerjee, Hyoil Han
Hyoil Han
Answer Validation is a topic of significant interest within the Question Answering community. In this paper, we propose the use of language modeling methodologies for Answer Validation, using corpus-based methods that do not require the use of external sources. Specifically, we propose a model for Answer Credibility which quantifies the reliability of a source document that contains a candidate answer and the Question’s Context Model.
Survey Of Word Sense Disambiguation Approaches, Xiaohua Zhou, Hyoil Han
Survey Of Word Sense Disambiguation Approaches, Xiaohua Zhou, Hyoil Han
Hyoil Han
Word Sense Disambiguation (WSD) is an important but challenging technique in the area of natural language processing (NLP). Hundreds of WSD algorithms and systems are available, but less work has been done in regard to choosing the optimal WSD algorithms. This paper summarizes the various knowledge sources used for WSD and classifies existing WSD algorithms according to their techniques. The rationale, tasks, performance, knowledge sources used, computational complexity, assumptions, and suitable applications for each class of WSD algorithms are also discussed. This paper will provide users with general knowledge for choosing WSD algorithms for their specific applications or for further …