Inference Rules for Recognizing Textual Entailment

In this paper, we explore the application of inference rules for recognizing textual entailment (RTE). We start with an automatically acquired collection and then propose methods to refine it and obtain more rules using a hand-crafted lexical resource. Following this, we derive a dependency-based representation from texts, which aims to provide a proper base for the inference rule application. The evaluation of our approach on the RTE data shows promising results on precision and the error analysis suggests future improvements.

• Publication year

  2009

• Venue

  International Conference on Computational Semantics

• Publication date

  2009-01-07

• Fields of study

  Computer Science

• Identifiers
  DOI 10.3115/1693756.1693768
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Finding Contradictions in Text

  2008cited by this paper
• Recognizing Textual Entailment Using Sentence Similarity based on Dependency Tree Skeletons

  2007cited by this paper
• Dependency-based paraphrasing for recognizing textual entailment

  2007cited by this paper
• Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition

  2007cited by this paper
• Hypothesis Transformation and Semantic Variability Rules Used in Recognizing Textual Entailment

  2007cited by this paper
• LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules

  2007cited by this paper
• On the Role of Lexical and World Knowledge in RTE3

  2007cited by this paper
• Instance-based Evaluation of Entailment Rule Acquisition

  2007cited by this paper
• Learning Selectional Preferences for Entailment or Paraphrasing Rules

  2007cited by this paper
• The Third PASCAL Recognizing Textual Entailment Challenge

  2007cited by this paper
• Methods for Using Textual Entailment in Open-Domain Question Answering

  2006cited by this paper
• The PASCAL Recognising Textual Entailment Challenge

  2005cited by this paper
• The 2005 PASCAL Visual Object Classes Challenge

  2005cited by this paper
• Scaling Web-based Acquisition of Entailment Relations

  2004cited by this paper
• Syntax-based Alignment of Multiple Translations: Extracting Paraphrases and Generating New Sentences

  2003cited by this paper
• Dependency-Based Evaluation of Minipar

  2003influential reference
• DIRT – Discovery of Inference Rules from Text

  2001cited by this paper
• DIRT @SBT@discovery of inference rules from text

  2001cited by this paper
• Extracting Paraphrases from a Parallel Corpus

  2001cited by this paper

• Constructing lexicons of relational phrases

  2017cites this paper
• The Detection of Contradictory Claims in Biomedical Abstracts

  2016cites this paper
• Extracting Lexical Reference Rules from Wikipedia

  2009influential citation