基于FrameNet框架关系的文本蕴含识别

张 鹏1,李国臣1,李 茹1 2,刘海静1,石向荣3,Collin Baker4

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中文信息学报 ›› 2012, Vol. 26 ›› Issue (2) : 46-51.
综述

基于FrameNet框架关系的文本蕴含识别

  • 张 鹏1,李国臣1,李 茹1 2,刘海静1,石向荣3,Collin Baker4
作者信息 +

Recognize Text Entailment Based on FrameNet Relations

  • ZHANG Peng1, LI Guochen1,LI Ru1 2, LIU Haijing1, SHI Xiangrong3, Collin Baker4
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摘要

文本蕴含识别是处理自然语言中广泛存在的同义异形现象的一种有效途径。该文基于FrameNet中框架及框架之间的八种关系,结合WordNet中词汇间的语义关系,提出了一种文本蕴含识别方法。在给定文本T和假设H中词元激起的框架基础上,该方法利用深度优先搜索,在FrameNet框架关系图中,查询T和H中框架之间的上下位关系;再使用WordNet中语义关系比较二者的框架元素是否一致或相似。实验对RTE2007中50个文本对进行了测试,达到了76.6%的准确率,略高于RTE2007评测的最优结果。

Abstract

This paper proposes a text entailment identification method using the frames and the frames relations in FrameNet together with the relevant knowledge with WordNet. The method finds the path between the frames evoked by the lexical units in text T and hypothesis H in the FrameNet Graph via depth-first search algorithm to identify the hyponymy relationships between the frames; Then it realizes the text entailment recognition through comparing the content of span which are filled in the mapping FE slots. Our experiments are based on certain parts of the evaluation corpus of RET2007.The experimental results reach 76.6% precision, which is consistent with the best results of RET2007 evaluation results in the task of “Recognize Text Entailment”.
Key wordsrecognize text entailment; FrameNet; frame-to-frame relations

关键词

文本蕴含识别 / FrameNet / 框架关系

Key words

recognize text entailment / FrameNet / frame-to-frame relations

引用本文

导出引用
张 鹏1,李国臣1,李 茹1 2,刘海静1,石向荣3,Collin Baker4. 基于FrameNet框架关系的文本蕴含识别. 中文信息学报. 2012, 26(2): 46-51
ZHANG Peng1, LI Guochen1,LI Ru1 2, LIU Haijing1, SHI Xiangrong3, Collin Baker4. Recognize Text Entailment Based on FrameNet Relations. Journal of Chinese Information Processing. 2012, 26(2): 46-51

参考文献

[1] 袁毓林, 王明华. 文本蕴含的推理模型与识别模型[J]. 中文信息学报,2010,24(2): 3-15.
[2] Peter Clark, Phil Harrison. An Inference-Based Approach to Recognizing Entailment[C]//Proceedings of Text Analysis Conference (TAC). 2009.
[3] Debarghya Majumdar, Pushpak Bhattacharyya. Lexical Based Text Entailment System for Main Task of RTE6[C]//Proceedings of Text Analysis Conference (TAC). 2010.
[4] Alexander Volokh, G nter Neumann, Bogdan Sacaleanu. Combining Deterministic Dependency Parsing and Linear Classification for Robust RTE[C]//Proceedings of Text Analysis Conference (TAC). 2010.
[5] C. J. Fillmore. Frame semantics and the nature of language[J].Annals of the New York Academy of Sciences, 1976:20-32.
[6] J. Scheffczyk, C. F. Baker, S. Narayanan. Ontology-based reasoning about lexical resources[C]//Proceedings of the Workshop on Interfacing Ontologies and Lexical Resources for Semantic Web Technologies (OntoLex 2006). 2006.
[7] Ekaterian Ovchinnikova, Laure Vieu, Alessandro Oltranari. Data-Driven and Ontological Analysis of FrameNet for Natural Language Reasoning[C]//Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC10). 2010.
[8] Aljoscha Burchardt, Anette Frank. Approaching Textual Entailment with LFG and FrameNet Frames[C]//Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing. 2006.
[9] Himanshu Shivhare, Parul, Anusha Jain. Semi Congitive approach to RTE 6-Using FrameNet for Semantic Clustering[C]//Proceedings of Text Analysis Conference (TAC). 2010.
[10] Collin Baker. FrameNet[DB/OL].2011-5-6.http://framenet.icsi.berkeley.edu .

基金

国家自然科学基金资助项目(60970053);国家语委“十二五”科研规划项目(YB125-19);山西省国际科技合作项目(2010081044);山西省实验室开放基金资助项目(2009011059-4)
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