INTELLIGENT QUESTION ANSWERING METHOD FOR ENTERPRISE LAW
Journal Title: Topics in Intelligent Computing and Industry Design (ICID) - Year 2017, Vol 1, Issue 2
Abstract
This study started from the special demand of enterprises, and discussed key technologies and methods in enterprise law field, aiming at classifying the problem of intelligent question answering system. In this paper, an enterprise law question set was established, and SVM method was utilized to realize question classification in enterprise law field, with classification accuracy as high as 84%. A multi-strategy fusion based answer extraction algorithm was proposed by fusing multiple answer extraction strategies, including keywords, semantics, and bag of words (BoW), and the answer extraction accuracy achieved up to 73%.
Authors and Affiliations
Zheng Xiaosong, Rao Wenbi
Keywords
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- EP ID EP409301
- DOI 10.26480/icie.01.2017.60.66
- Views 57
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