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Paraphrase Substitution for Recognizing Textual Entailment [PDF]

, 2007
We describe a method for recognizing textual entailment that uses the length of the longest common subsequence (LCS) between two texts as its decision criterion. Rather than requiring strict word matching in the common subsequences, we perform a flexible match using automatically generated paraphrases.
Bosma, W.E., Callison-Burch, C.
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Recognizing Textual Entailment Based on WordNet

2008 Second International Symposium on Intelligent Information Technology Application, 2008
Textual entailment recognition (RTE) is one of the fundamental problems in many natural language processing applications. This paper proposes a new method for lexical entailment measure which is based on exploiting the information in the WordNet glosses.
Trevor Martin
exaly   +3 more sources

An Empirical Study of Recognizing Textual Entailment in Japanese Text

Lecture Notes in Computer Science, 2012
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 the other one. In this paper, we conduct an empirical study of the RTE task for Japanese, adopting a machine-learning-based approach.
Akira Shimazu, Le Minh Nguyen
exaly   +3 more sources

Recognizing Textual Entailment Using Weighted Dependency Relations

Lecture Notes in Computer Science, 2023
Sudip Kumar Naskar, Asif Ekbal
exaly   +2 more sources

AORTE for Recognizing Textual Entailment

2009
In 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
openaire   +2 more sources

Recognizing Textual Entailment

2013
In the last few years, a number of NLP researchers have developed and participated in the task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language Understanding capabilities within a very simple interface: recognizing when the meaning of a text snippet is contained in the meaning of a second piece of text.
Dagan, I, Roth, D, Sommons, M, ZANZOTTO, FABIO MASSIMO   +3 more
openaire   +2 more sources

Applying COGEX to Recognize Textual Entailment

2006
This 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, Christine Clark, Abraham Fowler, Dan I. Moldovan   +3 more
openaire   +1 more source

Recognizing Textual Entailment and Paraphrases in Portuguese

2017
The 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
openaire   +1 more source

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
exaly   +2 more sources