Recognizing Textual Entailment Using Inference Phenomenon

被引:0
|
作者
Ren, Han [1 ]
Li, Xia [1 ]
Feng, Wenhe [2 ]
Wan, Jing [3 ]
机构
[1] Guangdong Univ Foreign Studies, Lab Language Engn & Comp, Guangzhou 510420, Guangdong, Peoples R China
[2] Wuhan Univ, Sch Comp, Wuhan 430072, Hubei, Peoples R China
[3] Guangdong Univ Foreign Studies, Ctr Lexicog Studies, Guangzhou 510420, Guangdong, Peoples R China
来源
CHINESE LEXICAL SEMANTICS, CLSW 2017 | 2018年 / 10709卷
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Recognizing Textual Entailment; Inference Phenomenon; Averaged Perceptron; Entailment Judgment;
D O I
10.1007/978-3-319-73573-3_26
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Inference phenomena refer to inference relations in local fragments between two texts. Current research on inference phenomenon focuses on the construction of data annotation, whereas there are few research on how to identify those inference phenomena in texts, which will contributes to improving the performance of recognizing textual entailment. This paper proposes an approach, which uses inference phenomena to recognize entailment in texts. In the approach, the task of recognizing textual entailment is formalized as two problems, that is, inference phenomenon identification and entailment judgment, then a joint model is employed to combine such two related subtasks, which is helpful to avoid error propagation. Experimental results show that the approach performs efficiently for identifying inference phenomena and recognizing entailment at the same time.
引用
收藏
页码:293 / 302
页数:10
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