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» Word Sense Language Model for Information Retrieval
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ICML
2001
IEEE
14 years 9 months ago
Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
Rong Jin, Alexander G. Hauptmann
IJSWIS
2006
108views more  IJSWIS 2006»
13 years 8 months ago
Information Retrieval by Semantic Similarity
Abstract. Semantic Similarity relates to computing the similarity between conceptually similar but not necessarily lexically similar terms. Typically, semantic similarity is comput...
Angelos Hliaoutakis, Giannis Varelas, Epimenidis V...
IPM
2006
77views more  IPM 2006»
13 years 8 months ago
A general matrix framework for modelling Information Retrieval
Content-oriented retrieval models are based on a document-term matrix, whereas link-oriented retrieval models are based on an adjacent (parentchild) matrix. Term frequency and inv...
Thomas Rölleke, Theodora Tsikrika, Gabriella ...
ICASSP
2008
IEEE
14 years 2 months ago
An unsupervised web-based topic language model adaptation method
This paper focuses on a solution to better adapt ASR systems, whose language models (LM) are usually trained on topic-independent corpora, to new topics, in particular in the case...
Gwénolé Lecorvé, Guillaume Gr...
LREC
2010
182views Education» more  LREC 2010»
13 years 10 months ago
Wikicorpus: A Word-Sense Disambiguated Multilingual Wikipedia Corpus
This article presents a new freely available trilingual corpus (Catalan, Spanish, English) that contains large portions of the Wikipedia and has been automatically enriched with l...
Samuel Reese, Gemma Boleda, Montse Cuadros, Llu&ia...