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The PASCAL Recognising Textual Entailment Challenge
tl;dr
This paper presents the Third PASCAL Recognising Textual Entailment Challenge (RTE-3), providing an overview of the dataset creating methodology and the submitted systems. Expand
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Integrating Subject Field Codes into WordNet
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We present a lexical resource where WordNet synsets are annotated with Subject Field Codes by a semiautomatic procedure which exploits WordNet structure. Expand
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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
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Revising the Wordnet Domains Hierarchy: semantics, coverage and balancing
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The continuous expansion of the multilingual information society has led in recent years to a pressing demand for multilingual linguistic resources suitable to be used for different applications. Expand
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Ontology Learning from Text: Methods, Evaluation and Applications
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This volume brings together ontology learning, knowledge acquisition and other related topics. Expand
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Ontology Learning from Text: An Overview
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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 context of the European Conference on Artificial Intelligence (ECAI) 2004 and the International Conference on Knowledge Engineering and Management (EKAW) 2004. Expand
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The MEANING Multilingual Central Repository
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This paper describes the first version of the Multilingual Central Repository, a lexical knowledge base developed in the framework of the MEANING project. Expand
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The role of domain information in Word Sense Disambiguation
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This paper explores the role of domain information in word sense disambiguation. Expand
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QAKiS: an Open Domain QA System based on Relational Patterns
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We present QAKiS, a system for open domain Question Answering over linked data. Expand
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