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Recognizing Textual Entailment with Temporal Expressions in Natural Language Texts
, 2008 The TACTE system proposed in this paper focuses on one problem in natural language processing, namely recognizing textual entailment involving temporal ex-pressions.
Yajing Zhang, Rui Wang
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AORTE for Recognizing Textual Entailment
2009In this paper we present the use of the AORTE system in recognizing textual entailment. AORTE allows the automatic acquisition and alignment of ontologies from text. The information resulted from aligning ontologies created from text fragments is used in classifying textual entailment.
Reda Siblini, Leila Kosseim
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A simple hybrid approach to recognizing textual entailment
Journal of Intelligent & Fuzzy Systems, 2018We explore various machine learning-based classifiers applied to rule-based features for recognizing textual entailment. The features, extracted with a set of synthesized matching rules, reflect syntactic and semantic similarity between the text and the hypothesis. The fact that we use only seven relatively simple features makes our method suitable for
Rohini Basak +2 more
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Recognizing Textual Entailment and Paraphrases in Portuguese
2017The aim of textual entailment and paraphrase recognition is to determine whether the meaning of a text fragment can be inferred (is entailed) from the meaning of another text fragment. In this paper, we address the task of automatically recognizing textual entailment (RTE) and paraphrases from text written in the Portuguese language employing ...
Gil Rocha, Henrique Lopes Cardoso
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A Distributed Architecture System for Recognizing Textual Entailment
Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2007), 2007Solving complex problems has become a usual fact in the natural language processing domain, where it is normal to use large information databases like lexicons, semantic relations, dictionaries. This paper describes the steps followed in building the system participating in the RTE3 competition.
Adrian Iftene +2 more
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Applying COGEX to Recognize Textual Entailment
2006This paper describes the system that LCC has devised to perform textual entailment recognition for the PASCAL RTE Challenge. Our system transforms each text-hypothesis pair into a two-layered logic form representation that expresses the lexical, syntactic, and semantic attributes of the text and hypothesis.
Daniel Hodges +3 more
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Recognizing Textual Entailment: Is Word Similarity Enough?
2006We describe the system we used at the PASCAL-2005 Recognizing Textual Entailment Challenge. Our method for recognizing entailment is based on calculating “directed” sentence similarity: checking the directed “semantic” word overlap between the text and the hypothesis.
Valentin Jijkoun, Maarten de Rijke
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Recognizing Textual Entailment Using Inference Phenomenon
2018Inference phenomena refer to inference relations in local fragments between two texts. Current research on inference phenomenon focuses on the construction of data annotation, whereas there are few research on how to identify those inference phenomena in texts, which will contributes to improving the performance of recognizing textual entailment.
Han Ren, Xia Li, Wenhe Feng, Jing Wan
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Recognizing Textual Entailment with Attentive Reading and Writing Operations
2018Inferencing the entailment relations between natural language sentence pairs is fundamental to artificial intelligence. Recently, there is a rising interest in modeling the task with neural attentive models. However, those existing models have a major limitation to keep track of the attention history because usually only one single vector is utilized ...
Liang Liu 0015 +5 more
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Recognizing Textual Entailment and Computational Semantics
2014Recognizing textual entailment (RTE)—deciding whether one piece of text contains new information with respect to another piece of text—remains a big challenge in natural language processing. One attempt to deal with this problem is combining deep semantic analysis and logical inference, as is done in the Nutcracker RTE system.
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