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» AORTE for Recognizing Textual Entailment
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CLEF
2006
Springer
13 years 8 months ago
Paraphrase Substitution for Recognizing Textual Entailment
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 requi...
Wauter Bosma, Chris Callison-Burch
ACL
2006
13 years 6 months ago
A Logic-Based Semantic Approach to Recognizing Textual Entailment
This paper proposes a knowledge representation model and a logic proving setting with axioms on demand successfully used for recognizing textual entailments. It also details a lex...
Marta Tatu, Dan I. Moldovan
ACL
2012
11 years 7 months ago
BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment
This paper introduces BIUTEE1 , an opensource system for recognizing textual entailment. Its main advantages are its ability to utilize various types of knowledge resources, and i...
Asher Stern, Ido Dagan
AAAI
2007
13 years 7 months ago
Recognizing Textual Entailment Using a Subsequence Kernel Method
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
Rui Wang 0005, Günter Neumann
NAACL
2010
13 years 2 months ago
Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions
We describe tree edit models for representing sequences of tree transformations involving complex reordering phenomena and demonstrate that they offer a simple, intuitive, and eff...
Michael Heilman, Noah A. Smith