A Survey of Text Entailment until June 2012
نویسنده
چکیده
Recognizing Textual Entailment is a task that recognizes pairs of natural language expressions, such that a human who reads (and trusts) the first element of a pair would most likely infer that the other element is also true. Textual Entailment is useful in a wide range of natural language processing applications, including question answering, summarization, text generation, and machine translation. In this document we summarize the key ideas and approaches from the area, current up to June 2012, also pointing to prominent articles and resources.
منابع مشابه
DirRelCond3: Detecting Textual Entailment Across Languages With Conditions On Directional Text Relatedness Scores
There are relatively few entailment heuristics that exploit the directional nature of the entailment relation. Cross-Lingual Text Entailment (CLTE), besides introducing the extra dimension of cross-linguality, also requires to determine the exact direction of the entailment relation, to provide content synchronization (Negri et al., 2012). Our system uses simple dictionary lookup combined with ...
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