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FPT University|e-Resources > Bài báo khoa học (Scientific Articles) > Articles published by FPT lecturers >
Please use this identifier to cite or link to this item: http://ds.libol.fpt.edu.vn/handle/123456789/2059

Title: Learning to Recognize Textual Entailment in Japanese Texts with the Utilization of Machine Translation
Authors: Pham, Minh Quang Nhat
Nguyen, Minh Le
Shimazu, Akira
Keywords: Abstract Recognizing
Issue Date: 1-Sep-2012
Publisher: ACM
Abstract: Abstract 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 textual entailment in Japanese texts, in which we adopt a machine learning-based approach to the task. We quantitatively analyze the effects of various entailment features, machine learning algorithms, and the impact of RTE resources on the performance of an RTE system. This ...
Description: 23 pages
URI: http://ds.libol.fpt.edu.vn/handle/123456789/2059
Appears in Collections:Articles published by FPT lecturers

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