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» A Structured Vector Space Model for Word Meaning in Context
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COLING
2010
13 years 9 days ago
Topic Models for Meaning Similarity in Context
Recent work on distributional methods for similarity focuses on using the context in which a target word occurs to derive context-sensitive similarity computations. In this paper ...
Georgiana Dinu, Mirella Lapata
CONTEXT
2003
Springer
13 years 10 months ago
Unpacking Meaning from Words: A Context-Centered Approach to Computational Lexicon Design
Abstract. The knowledge representation tradition in computational lexicon design represents words as static encapsulations of purely lexical knowledge. We suggest that this view po...
Hugo Liu
NLDB
2007
Springer
13 years 11 months ago
Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
Eric SanJuan, Fidelia Ibekwe-Sanjuan, Juan Manuel ...
FQAS
2009
Springer
129views Database» more  FQAS 2009»
13 years 12 months ago
Representing Context Information for Document Retrieval
The bag of words representation (BoW), which is widely used in information retrieval (IR), represents documents and queries as word lists that do not express anything about context...
Maya Carrillo, Esaú Villatoro-Tello, Aureli...
TSD
2009
Springer
13 years 10 months ago
Combining Text Vector Representations for Information Retrieval
Abstract. This paper suggests a novel representation for documents that is intended to improve precision. This representation is generated by combining two central techniques: Rand...
Maya Carrillo, Chris Eliasmith, Aurelio Lóp...