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Query expansion using lexical-semantic relations

by Ellen M. Voorhees - In Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 1994
"... Applications such as office automation, news filtering, help facilities in complex systems, and the like require the ability to retrieve documents from full-text databases where vocabulary problems can be particularly severe. Experiments performed on small collections with single-domain thesauri sug ..."
Abstract - Cited by 395 (1 self) - Add to MetaCart
suggest that expanding query vectors with words that are lexically related to the original query words can ameliorate some of the problems of mismatched vocabularies. This paper examines the utility of lexical query expansion in the large, diverse TREC collection. Concepts are represented by Word

Non-classical lexical semantic relations

by Jane Morris, Graeme Hirst - Workshop on Computational Lexical Semantics, In Proc. Human Language Technology Conference of the NAACL , 2004
"... NLP methods and applications need to take account not only of “classical ” lexical rela-tions, as found in WordNet, but the less-structural, more context-dependent “non-classical ” relations that readers intuit in text. In a reader-based study of lexical relations in text, most were found to be of t ..."
Abstract - Cited by 48 (3 self) - Add to MetaCart
NLP methods and applications need to take account not only of “classical ” lexical rela-tions, as found in WordNet, but the less-structural, more context-dependent “non-classical ” relations that readers intuit in text. In a reader-based study of lexical relations in text, most were found

Translating Lexical Semantic Relations: The First Step Towards Multilingual Wordnets

by Chu-ren Huang, I-ju E. Tseng, Dylan B. S. Tsai - Proceedings of the 2002 SemaNet Workshop , 2002
"... Establishing correspondences between wordnets of different languages is essential to both multilingual knowledge processing and for bootstrapping wordnets of low-density languages. We claim that such correspondences must be based on lexical semantic relations, rather than top ontology or word transl ..."
Abstract - Cited by 9 (5 self) - Add to MetaCart
Establishing correspondences between wordnets of different languages is essential to both multilingual knowledge processing and for bootstrapping wordnets of low-density languages. We claim that such correspondences must be based on lexical semantic relations, rather than top ontology or word

Cross-lingual Conversion of Lexical Semantic Relations: Building Parallel Wordnets

by Chu-ren Huang, I-li Su, Jia-fei Hong, Xiang-bing Li
"... Parallel wordnets built upon correspondences between different languages can play a crucial role in multilingual knowledge processing. Since there is no homomorphism between pairs of monolingual wordnets, we must rely on lexical semantic relation (LSR) mappings to ensure conceptual cohesion. In this ..."
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Parallel wordnets built upon correspondences between different languages can play a crucial role in multilingual knowledge processing. Since there is no homomorphism between pairs of monolingual wordnets, we must rely on lexical semantic relation (LSR) mappings to ensure conceptual cohesion

Paranyms, Co-Hyponyms and Antonyms: Representing Semantic Fields with Lexical Semantic Relations

by Chu-ren Huang, Pei-yi Hsiao, I-li Su, Xiu-ling Ke
"... In this paper, we propose a new primary lexical semantic relation—paranymy, to explain a relation for concept classification that has not yet be dealt with in WordNet. We observe the relations among the same set of coordinate terms and find out that the concept of antonymy often appears among those ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
In this paper, we propose a new primary lexical semantic relation—paranymy, to explain a relation for concept classification that has not yet be dealt with in WordNet. We observe the relations among the same set of coordinate terms and find out that the concept of antonymy often appears among those

Extraction, Evaluation and Integration of Lexical-Semantic Relations for the Automated Construction of a Lexical Ontology

by Tonio W, Ekaterina Ovchinnikova, Ulf Krumnack, Henrik Dittmann
"... Several approaches for extracting semantic relations from various types of resources have been proposed during the last years. While already of great value when used separately, combining these techniques promises to lead to even broader and more reliable results. However, divergent information may ..."
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paper focuses on lexical-semantic relations, but the approach presented is extensible to include new kinds of data sources as well as further types of relations. 1

Learning Lexical Semantic Relations using Lexical Analogies — Extended Abstract

by Andy Chiu, Pascal Poupart, Chrysanne Dimarco
"... ..."
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Simple_PLUS: a network of lexical semantic relations Simple_PLUS: una red de relaciones léxico-semánticas

by Nilda Ruimy
"... Resumen: Este artículo trata de la base de datos léxico-semántica del italiano, Simple_PLUS, y particularmente de su núcleo central: la red de relaciones léxico-semánticas. Este recurso lexical tiene como base Parole-Simple-Clips, un léxico electrónico con cuatro niveles de descripción, elaborado se ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
, modelo EuroWordNet Abstract: The present article deals with the Italian lexical-semantic database Simple_PLUS and

From Talking Animal to Talking Machine

by Tatiana Valeria Kantorovich , 2015
"... Lexical semantic relations in WordNet ..."
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Lexical semantic relations in WordNet

Lexical-semantic SLVM for XML Document Classification

by Jun Long, Luda Wang, Zude Li, Zuping Zhang, Huiling Li, Guihu Zhao
"... Abstract—Structured link vector model (SLVM) and its improved version depend on statistical term measures to implement XML document representation. As a result, they ignore the lexical semantics of terms and its mutual information, leading to text classification errors. This paper proposed a XML doc ..."
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contents was built in the lexical-semantic feature space for XML document representation, and lexical semantic relations were marked on it to construct the feature matrix in lexical-semantic SLVM. On categorized dataset of Wikipedia XML, using NWKNN classification algorithm, the experimental results show
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