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ECAI
2004
Springer
14 years 2 months ago
An Intrinsic Information Content Metric for Semantic Similarity in WordNet
Information Content (IC) is an important dimension of word knowledge when assessing the similarity of two terms or word senses. The conventional way of measuring the IC of word sen...
Nuno Seco, Tony Veale, Jer Hayes
AUSAI
2009
Springer
14 years 8 days ago
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...
ESWS
2008
Springer
13 years 10 months ago
Enhancing Semantic Search using N-Levels Document Representation
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: For a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...
SWAP
2008
13 years 10 months ago
Improving Retrieval Experience Exploiting Semantic Representation of Documents
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: for a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...
CICLING
2009
Springer
14 years 9 months ago
Semantic Clustering for a Functional Text Classification Task
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
Thomas Lippincott, Rebecca J. Passonneau