The PASCAL Recognising Textual Entailment Challenge
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Summary
The RTE task is defined as recognizing, given two text fragments, whether the meaning of one text can be inferred from the other, and how to capture major inferences about the variability of semantic expression which are commonly needed across multiple applications.
- Type
- article
- Published
- 2005-01-01
- Cited by
- 2,689
- References
- 16
- OpenAlex
- https://openalex.org/W2525127255
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8587959
Keywords
Textual entailment, Computer science, Pascal (unit), Natural language processing, Task (project management)
References
- An Analysis of First-Order Logics of Probability
- Light-Weight Entailment Checking for Computational Semantics
- Scaling Web-based Acquisition of Entailment Relations
- PROBABILISTIC TEXTUAL ENTAILMENT: GENERIC APPLIED MODELING OF LANGUAGE VARIABILITY
- Entailment, intensionality and text understanding
- Detecting change in vague interpretations of landscapes
- Measuring the Semantic Similarity of Texts
- Representing and reasoning with probabilistic knowledge
- Local Textual Inference: Can it be Defined or Circumscribed?
- Meaning and Grammar: An Introduction to Semantics
- Classification of Semantic Relations by Humans and Machines
- Definition and Analysis of Intermediate Entailment Levels
- What Syntax Can Contribute in the Entailment Task
- A Lexical Alignment Model for Probabilistic Textual Entailment
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- Evaluation of text-mining systems for biology: overview of the Second BioCreative community challenge
- Réécriture et Détection d’Implication Textuelle
- Metaphor in Textual Entailment
- A First Experimental Demonstration of Massive Knowledge Infusion
- Textual Inference for Eligibility Criteria Resolution in Clinical Trials
- Instance Based Lexical Entailment for Ontology Population
- Building a Textual Entailment Suite for the Evaluation of Automatic Content Scoring Technologies
- Universal Schema for Knowledge Representation from Text and Structured Data
- Named Entity Relation Mining using Wikipedia
- A Probabilistic Lexical Approach to Textual Entailment
- Network-based distributional semantic models
- Multi-document Summarisation and the PASCAL Textual Entailment Challenge
- Réordonnancement de candidats reponses pour un système de questions-réponses. (Re-ranking of candidates answers of a question-answering system)
- Cross Lingual and Semantic Retrieval for Cultural Heritage Appreciation
- Using Discourse Information for Paraphrase Extraction
- Exploiting logical forms