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To solve the difficulty of the field of Automatic Entity Relation Extraction, in this paper, a method that used binary classification thinking, meanwhile combined with reasoning rules to extract the field of entity relation is proposed. considering comprehensively the context information of entity, entity type and their combination of characteristics to construct the feature set, which in order to...
The domain knowledge has a direct impact on the result of question - answering (Q & A) in the restricted domain question answering system (QA). In this paper, a method of answer extraction for domain Chinese question-and-answer (Q&A) is proposed, which based on the analysis of interrogative sentence and the answer type, carrying on the text retrieval with the help of the domain knowledge and...
Exploration of explicit and, especially, implicit information of customers is a vital task for industrial enterprises and organizations. Text and data mining are two indispensable means to accomplish above task. This paper presents a hybrid mining system, EIREx, which processes unstructured (text documents) and structured (data tables from databases) information as a whole source. The construction...
In order to improve the accuracy of passage retrieval in restrict domain question answering system, The paper proposes a retrieval method using domain knowledge in Chinese question answering system. This method extracts question keywords by analyzing syntactic structure, expands synonymous keywords with the help of ldquoHowNetrdquo and ldquoField HowNetrdquo to do question query, and then extracts...
In document retrieval, query words expansion is normally based on semantic relation of query words. While using natural language questions to retrieve documents, because of more abundant semantic relation of question than that of query words, the precision can be improved by expanding query according to question characteristics. This paper puts forward a query expansion method for answering document...
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