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Evaluating Textual Entailment Recognition for University Entrance Examinations
Yusuke Miyao, Hideki Shima, Hiroshi Kanayama, Teruko Mitamura
Article No.: 13
The present article addresses an attempt to apply questions in university entrance examinations to the evaluation of textual entailment recognition. Questions in several fields, such as history and politics, primarily test the examinee’s...
Learning to Recognize Textual Entailment in Japanese Texts with the Utilization of Machine Translation
Minh Quang Nhat Pham, Minh Le Nguyen, Akira Shimazu
Article No.: 14
Recognizing Textual Entailment (RTE) is a fundamental task in Natural Language Understanding. The task is to decide whether the meaning of a text can be inferred from the meaning of another one. In this article, we conduct an empirical study of...
Recognizing Inference in Texts with Markov Logic Networks
Xipeng Qiu, Ling Cao, Zhao Liu, Xuanjing Huang
Article No.: 15
Recognizing inference in texts (RITE) attracts growing attention of natural language processing (NLP) researchers in recent years. In this article, we propose a novel approach to recognize inference with probabilistic logical reasoning. Our...
Predicate-Argument Structure-Based Textual Entailment Recognition System Exploiting Wide-Coverage Lexical Knowledge
Tomohide Shibata, Sadao Kurohashi
Article No.: 16
This article proposes a predicate-argument structure based Textual Entailment Recognition system exploiting wide-coverage lexical knowledge. Different from conventional machine learning approaches where several features obtained from linguistic...
Validating Contradiction in Texts Using Online Co-Mention Pattern Checking
Chengwei Shih, Chengwei Lee, Richard Tzonghan Tsai, Wenlian Hsu
Article No.: 17
Detecting contradictive statements is a foundational and challenging task for text understanding applications such as textual entailment. In this article, we aim to address the problem of the shortage of specific background knowledge in...
Leveraging Diverse Lexical Resources for Textual Entailment Recognition
Yotaro Watanabe, Junta Mizuno, Eric Nichols, Katsuma Narisawa, Keita Nabeshima, Naoaki Okazaki, Kentaro Inui
Article No.: 18
Since the problem of textual entailment recognition requires capturing semantic relations between diverse expressions of language, linguistic and world knowledge play an important role. In this article, we explore the effectiveness of different...