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The PASCAL Recognising Textual Entailment Challenge
This paper presents the Third PASCAL Recognising Textual Entailment Challenge (RTE-3), providing an overview of the dataset creating methodology and the submitted systems. In creating this year'sExpand
Integrating Subject Field Codes into WordNet
In this paper, we present a lexical resource where WordNet synsets are annotated with Subject Field Codes. We discuss both the methodological issues we dealt with and the annotation techniques used.Expand
The Second PASCAL Recognising Textual Entailment Challenge
This paper describes the Second PASCAL Recognising Textual Entailment Challenge (RTE-2). 1 We describe the RTE2 dataset and overview the submissions for the challenge. One of the main goals for thisExpand
Revising the Wordnet Domains Hierarchy: semantics, coverage and balancing
This paper presents the WordNet Domains Hierarchy (WDH), a language-independent resource composed of 164, hierarchically organized, domain labels, and illustrates a new version of WDH addressing problems by an explicit and systematic reference to the Dewey Decimal Classification. Expand
Ontology Learning from Text: Methods, Evaluation and Applications
This volume presents current research in ontology learning, addressing three perspectives, including methodologies that have been proposed to automatically extract information from texts and to give a structured organization to such knowledge, including approaches based on machine learning techniques. Expand
Ontology Learning from Text: An Overview
This volume brings together a collection of extended versions of selected papers from two workshops on ontology learning, knowledge acquisition and related topics that were organized in the contextExpand
Recognizing textual entailment: Rational, evaluation and approaches
This special issue of the JNLE provides an opportunity to showcase some of the most important work in this emerging area of textual entailment, particularly automatic acquisition of paraphrases and lexical semantic relationships and unsupervised inference in applications such as question answering, information extraction and summarization. Expand
The MEANING Multilingual Central Repository
This paper describes the first version of the Multilingual Central Repository, a lexical knowledge base developed in the framework of the MEANING project, and believes that the resulting MCR will be the largest and richest Multilingual Lexical Knowledge Base in existence. Expand
The role of domain information in Word Sense Disambiguation
Results obtained at the SENSEVAL-2 initiative confirm that for a significant subset of words domain information can be used to disambiguate with a very high level of precision. Expand