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[J]. 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. , 2012, 26(2): 46-51.
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
1. 山西大学 计算机与信息技术学院,山西 太原 030006; 2. 山西大学 计算智能与中文信息处理教育部重点实验室,山西 太原 030006; 3. 中北大学 电子与计算机科学技术学院,山西 太原 030051; 4. International Computer Science Institute, 1947 Center St. Suite 600 Berkeley, California, 94704
Recognize Text Entailment Based on FrameNet Relations
ZHANG Peng1, LI Guochen1,LI Ru1 2, LIU Haijing1, SHI Xiangrong3, Collin Baker4
1. School of Computer & Information Technology, Shanxi University, Taiyuan, Shanxi 030006, China;2. Key Laboratory of Ministry of Education for Computation Intelligence & Chinese Information Processing, Taiyuan, Shanxi 030006, China;3. School of Electronics and Computer Science & Technology, North University of China, Taiyuan, Shanxi 030051, China;4. International Computer Science Institute, 1947 Center St. Suite 600 Berkeley, California, 94704, USA
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
[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 (LREC10). 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 .
2012, Vol. 26 
