Title: A SURVEY ON QUESTION CLASSIFICATION TECHNIQUES FOR QUESTION ANSWERING
Abstract: Question answering is one of the oldest and challenging tasks in natural language processing. The goal is to build systems that are able to automatically answer questions posed by human in a natural language. This survey focuses on question classification task, which is a subtask in question answering. Question classification aims to associate a category to each question, typically representing the semantic class of its answer. It is of major importance in the question answering process, since it is the basis of several key decisions. This survey presents basic introduction about question answering, some approaches for question classification, including rule-based approach and machine learning approach, and the accuracy comparison among them.
Publication Year: 2016
Publication Date: 2016-07-07
Language: en
Type: article
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Cited By Count: 4
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