| A maximum entropy model based answer extraction for Chinese question answering | |
| Sun, Ang ; Jiang, Minghu ; Ma, Yanjun | |
| 2010-05-10 ; 2010-05-10 | |
| 会议名称 | FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PROCEEDINGS ; 3rd International Conference on Fuzzy Systems and Knowledge Discovery ; Xian, PEOPLES R CHINA ; Web of Science ; INSPEC |
| 关键词 | Computer Science, Theory & Methods |
| 中文摘要 | We regard answer extraction of Question Answering (QA) system as a classification problem, classifying answer candidate sentences into positive or negative. To confirm the feasibility of this new approach, we first extract features concerning question sentences and answer words from question answer pairs (QA pair), then we conduct experiments based on these features, using Maximum Entropy Model (MEM) as a Machine Learning (ML) technique. The first experiment conducted on the class-TIME-YEAR achieves 81.24% in precision and 78.48% in recall. The second experiment expanded to two other classes-OBJ_SUBSTANCE and LOC_CONTINENT also shows good performance. |
| 会议录出版者 | SPRINGER-VERLAG BERLIN ; BERLIN ; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
| 语种 | 英语 ; 英语 |
| 内容类型 | 会议论文 |
| 源URL | [http://hdl.handle.net/123456789/19930]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | Sun, Ang,Jiang, Minghu,Ma, Yanjun. A maximum entropy model based answer extraction for Chinese question answering[C]. 见:FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PROCEEDINGS, 3rd International Conference on Fuzzy Systems and Knowledge Discovery, Xian, PEOPLES R CHINA, Web of Science, INSPEC. |
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