Evelyne Viegas


2010

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An Overview of Microsoft Web N-gram Corpus and Applications
Kuansan Wang | Chris Thrasher | Evelyne Viegas | Xiaolong Li | Bo-june Paul Hsu
Proceedings of the NAACL HLT 2010 Demonstration Session

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A Hybrid Approach to Unsupervised Relation Discovery Based on Linguistic Analysis and Semantic Typing
Zareen Syed | Evelyne Viegas
Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading

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Automatic Discovery of Semantic Relations using MindNet
Zareen Syed | Evelyne Viegas | Savas Parastatidis
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

Information extraction deals with extracting entities (such as people, organizations or locations) and named relations between entities (such as ""People born-in Country"") from text documents. An important challenge in information extraction is the labeling of training data which is usually done manually and is therefore very laborious and in certain cases impractical. This paper introduces a new “model” to extract semantic relations fully automatically from text using the Encarta encyclopedia and lexical-semantic relations discovered by MindNet. MindNet is a lexical knowledge base that can be constructed fully automatically from a given text corpus without any human intervention. Encarta articles are categorized and linked to related articles by experts. We demonstrate how the structured data available in Encarta and the lexical semantic relations between words in MindNet can be used to enrich MindNet with semantic relations between entities. With a slight trade off of accuracy a semantically enriched MindNet can be used to extract relations from a text corpus without any human intervention.

1999

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An Overt Semantics with a Machine-guided Approach for Robust LKBs
Evelyne Viegas
SIGLEX99: Standardizing Lexical Resources

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Developing knowledge bases for MT with linguistically motivated quality-based learning
Evelyne Viegas
Proceedings of Machine Translation Summit VII

In this paper we present a proposal to help bypass the bottleneck of knowledge-based systems working under the assumption that the knowledge sources are complete. We show how to create, on the fly, new lexicon entries using lexico-semantic rules and how to create new concepts for unknown words, investigating a new linguistically-motivated model to trigger concepts in context.

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Using computational semantics for Chinese translations
Evelyne Viegas | Wanying Jin | Stephen Beale
Proceedings of Machine Translation Summit VII

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Long time no see: overt semantics for Machine Translation
Evelyne Viegas | Wanying Jin | Stephen Beale
Proceedings of the 8th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages

1998

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Multilingual Computational Semantic Lexicons in Action- WYSINNWYG Approach to NLP
Evelyne Viegas
COLING 1998 Volume 2: The 17th International Conference on Computational Linguistics

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The Computational Lexical Semantics of Syntagmatic Relations
Evelyne Viegas | Stephen Beale | Sergei Nirenburg
COLING 1998 Volume 2: The 17th International Conference on Computational Linguistics

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Multilingual Computational Semantic Lexicons in Action: The WYSINNWYG Approach to NLP
Evelyne Viegas
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 2

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The Computational Lexical Semantics of Syntagmatic Expressions
Evelyne Viegas | Stephen Beale | Sergei Nirenburg
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 2

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Representation and Processing of Chinese Nominals and Compounds
Evelyne Viegas | Wanying Jin | Ron Dolan | Stephen Beale
The Computational Treatment of Nominals

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De-Constraining Text Generation
Stephen Beale | Sergei Nirenburg | Evelyne Viegas | Leo Wanner
Natural Language Generation

1997

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Word sense disambiguation: why statistics when we have these numbers?
Kavi Mahesh | Sergei Nirenburg | Stephen Beale | Evelyne Viegas | Victor Raskin | Boyan Onyshkevych
Proceedings of the 7th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages

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Mismatches and divergences: the continuum perspective
Evelyne Viegas
Proceedings of the 7th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages

1996

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From Submit to Submitted via Submission: On Lexical Rules in Large-Scale Lexicon Acquisition
Evelyne Viegas | Boyan Onyshkevych | Victor Raskin | Sergei Nirenburg
34th Annual Meeting of the Association for Computational Linguistics

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Breadth and Depth of Semantic Lexicons - Notes on the Workshop
Evelyne Viegas
Breadth and Depth of Semantic Lexicons

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Multilinguality and Reversibility in Computational Semantic Lexicons
Evelyne Viegas | Stephen Beale
Eighth International Natural Language Generation Workshop (Posters and Demonstrations)

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Two principles and six techniques for rapid MT development
Sergei Nirenburg | Stephen Beale | Stephen Helmreich | Kavi Mahesh | Evelyne Viegas | Rémi Zajac
Conference of the Association for Machine Translation in the Americas

1994

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Semantic Lexicons: The Cornerstone for Lexical Choice in Natural Language Generation
Evelyne Viegas | Pierrette Bouillon
Proceedings of the Seventh International Workshop on Natural Language Generation