Chinese Textual Entailment Recognition Via Ordered Word Mover Distance

doi:10.13190/j.jbupt.2016-221

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (5): 123-128.doi: 10.13190/j.jbupt.2016-221

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Chinese Textual Entailment Recognition Via Ordered Word Mover Distance

TAN Yong-mei, WANG Min-da, NIU Shao-zhang

School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2016-09-07 Online:2017-10-28 Published:2017-11-21

Abstract

Abstract: Chinese textual entailment recognition method based on ordered word mover distance was proposed. The ordered word mover distance was computed based on word2vec. The ordered word mover distance feature, grammar feature, and semantic feature were used to generate classification module based support vector machine (SVM). With use of classification module, the entailment result was obtained. An experiment was conducted in the CS data of RITE-VAL evaluation task in 2014, the MacroF1 of the experiment is 0.629, outperforming optimal value (BUPTTeam,0.615), which illustrates the effectiveness of the method to lifting the performance of Chinese textual entailment.

Key words: textual entailment, word2vec, ordered word mover distance, support vector machine

CLC Number:

TN911.22

TAN Yong-mei, WANG Min-da, NIU Shao-zhang. Chinese Textual Entailment Recognition Via Ordered Word Mover Distance[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(5): 123-128.

References

[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):3-13. Yuan Yulin, Wang Minghua. The inference and identification models for textual entailment[J]. Journal of Chinese Information Processing, 2010, 24(2):3-13.
[2] Matsuyoshi S, Miyao Y, Shibata T, et al. Overview of the NTCIR-11 recognizing inference in text and validation (RITE-VAL) task[C]//Proceedings of the 11^th NTCIR Conference. Tokyo:[s.n.], 2014:223-232.
[3] 王宝鑫, 郑德权, 王晓雪, 等. 基于文本蕴含的选择类问题解答技术研究[J]. 北京大学学报:自然科学版, 2016, 52(1):134-140. Wang Baoxin, Zheng Dequan, Wang Xiaoxue, et al. Multiple-choice question answering based on textual entailment[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2016, 52(1):134-140.
[4] Liu Maofu, Zhang Luming, Hu Huijun, et al. A classification model for semantic entailment recognition with feature combination[J]. Neurocomputing, 2016, 208(C):127-135.
[5] 张晗, 盛雅琦, 吕晨, 等. 基于短文本隐含语义特征的文本蕴涵识别[J]. 中文信息学报, 2016, 30(3):163-171. Zhang Han, Sheng Yaqi, Lü Chen, et al. Recognizing textual entailment based on short text latent semantic feature[J]. Journal of Chinese Information Processing, 2016, 30(3):163-171.
[6] Siblini R, Kosseim L. Using ontology alignment for the TAC RTE challenge[C]//Text Analysis Conference (TAC 2008) Workshop-RTE-4 Track. Gaithersburg:[s.n.], 2008.
[7] Mikolov T, Sutskever I, Chen K, et al. Distributed representations of words and phrases and their compositionality[C]//Advances in Neural Information Processing Systems, 2013:3111-3119.
[8] Kusner M J, Sun Y, Kolkin N I, et al. From word embeddings to document distances[C]//International Conference on Machine Learning. Lille:[s.n.], 2015:957-966.
[9] Vapnik V. The Nature of statistical learning theory[M]. Berlin:Springer, 1995.
[10] 张学工. 关于统计学习理论与支持向量机[J]. 自动化学报, 2000, 26(1):3243. Zhang Xuegong. Introduction to statistical learning theory and support vector machines[J]. Acta Automatica Sinica, 2000, 26(1):3243.
[11] Mikolov T, Chen K, Corrado G, et al. Efficient estimation of word representations in vector space[EB/OL]. 2013. https://arxiv.org/abs/1301.3781.
[12] 李妍, 刘茂福, 姬东鸿. 基于支持向量机的中文文本蕴涵识别研究[J]. 计算机应用与软件, 2014, 31(4):51-55. Li Yan, Liu Maofu, Ji Donghong. On SVM-based Chinese textual entailment recognition[J]. Computer Application and Software, 2014, 31(4):51-55.

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Chinese Textual Entailment Recognition Via Ordered Word Mover Distance

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