COMPARISON OF DISTRIBUTIONAL SEMANTIC MODELS FOR RECOGNIZING TEXTUAL ENTAILMENT

YUDI WIBISONO; DWI HENDRATMO WIDYANTORO; NUR ULFA MAULIDEVI

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COMPARISON OF DISTRIBUTIONAL SEMANTIC MODELS FOR RECOGNIZING TEXTUAL ENTAILMENT

机译：识别文本互动的分布语义模型的比较

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Recognizing Textual Entailment (RTE) is an important task in many natural language processing. In this paper we investigate the effectiveness of distributional semantic model (DSM) in RTE task. Word2Vec and GloVe are recent methods that suitable for learn

机译：在许多自然语言处理中，识别文本蕴含（RTE）是一项重要的任务。在本文中，我们研究了分布式语义模型（DSM）在RTE任务中的有效性。 Word2Vec和GloVe是适合学习的最新方法

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《Journal of Theoretical and Applied Information Technology》 |2016年第2期|共页
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YUDI WIBISONO; DWI HENDRATMO WIDYANTORO; NUR ULFA MAULIDEVI;
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中图分类计算技术、计算机技术;
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1. SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment [J] . Bentivogli Luisa, Bernardi Raffaella, Marelli Marco, Language Resources and Evaluation . 2016,第1期

机译：通过SemEval眼镜呼吸。通过语义相关性和文本涵义从完整句子的组成分布语义模型评估中吸取的教训
2. A WordNet-based semantic approach to textual entailment and cross-lingual textual entailment [J] . Julio Javier Castillo International journal of machine learning and cybernetics . 2011,第3期

机译：基于WordNet的语义方法用于文本范围和跨语言文本范围
3. Recognizing Textual Entailment: Models and Applications [J] . Bernardo Magnin Computational linguistics . 2015,第1期

机译：识别文本蕴涵：模型和应用
4. BUAP: Evaluating Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment [C] . Saul Leon, Darnes Vilarino, David Pinto, 8th International workshop on semantics evaluation . 2014

机译：BUAP：通过语义相关性和文本蕴含度评估完整句子的成分分布语义模型
5. Tractable models of natural language semantics for recognizing spoken directions. [D] . Schuler, William Edward. 2003

机译：用于识别口头指示的自然语言语义的可伸缩模型。
6. A COMPARISON OF PEER VIDEO MODELING AND SELF VIDEO MODELING TO TEACH TEXTUAL RESPONSES IN CHILDREN WITH AUTISM [O] . Alonna Marcus, David A Wilder 1997

机译：自闭症儿童同伴视频建模和自我视频建模对课文反应的比较
7. Recognizing Textual Entailment Using Description Logic And Semantic Relatedness [O] . Siblini Reda 2014

机译：使用描述逻辑和语义相关性识别文本蕴涵

COMPARISON OF DISTRIBUTIONAL SEMANTIC MODELS FOR RECOGNIZING TEXTUAL ENTAILMENT

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