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Paraphrase and Textual Entailment Generation
2014One particular information can be conveyed by many different sentences. This variety concerns the choice of vocabulary and style as well as the level of detail (from laconism or succinctness to total verbosity). Although verbosity in written texts is considered bad style, generated verbosity can help natural language processing (NLP) systems to fill in
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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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Applying Textual Entailment to the Interpretation of Metaphor
2013 IEEE Seventh International Conference on Semantic Computing, 2013Metaphor is a pervasive feature of human language that enables us to conceptualize and communicate abstract concepts using more concrete terminology. Unfortunately, computational models of natural language understanding - including systems for question answering, textual entailment, lexical substitution, and word-sense disambiguation - are unable to ...
Michael Mohler +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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Paraphrase and Textual Entailment Generation in Czech
Computación y Sistemas, 2014Paraphrase and textual entailment generation can support natural language processing (NLP) tasks that simulate text understanding, e.g., text summariza- tion, plagiarism detection, or question answering. A paraphrase, i.e., a sentence with the same meaning, conveys a certain piece of information with new words and new syntactic structures.
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Answer Validation through Textual Entailment
2011Ongoing research work on an Answer Validation System (AV) based on Textual Entailment and Question Answering has been presented. A number of answer validation modules have been developed based on Textual Entailment, Named Entity Recognition, Question-Answer type analysis, Chunk boundary module and Syntactic similarity module.
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Answer Validation Using Textual Entailment
2011We present an Answer Validation System (AV) based on Textual Entailment and Question Answering. The important features used to develop the AV system are Lexical Textual Entailment, Named Entity Recognition, Question-Answer type analysis, chunk boundary module and syntactic similarity module. The proposed AV system is rule based.
Partha Pakray +2 more
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A Dataset for Arabic Textual Entailment.
2013There are fewer resources for textual entailment(TE) for Arabic than for other languages,and the manpower for constructingsuch a resource is hard to come by.We describe here a semi-automatic techniquefor creating a first dataset for TEsystems for Arabic using an extension ofthe ‘headline-lead paragraph’ technique.We also sketch the difficulties ...
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Novel textual entailment technique for the Arabic language using genetic algorithm
Computer Speech and Language, 2021Bushra Alhijawi, Arafat Awajan
exaly