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» Word Sense Language Model for Information Retrieval
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SIGIR
1998
ACM
14 years 21 days ago
A Language Modeling Approach to Information Retrieval
Abstract Models of document indexing and document retrieval have been extensively studied. The integration of these two classes of models has been the goal of several researchers b...
Jay M. Ponte, W. Bruce Croft
COLING
2002
13 years 8 months ago
A Maximum Entropy-based Word Sense Disambiguation System
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
Armando Suárez, Manuel Palomar
LREC
2010
173views Education» more  LREC 2010»
13 years 10 months ago
Czech Information Retrieval with Syntax-based Language Models
In this paper, we deal with information retrieval approach based on language model paradigm, which has been intensively investigated in recent years. We propose, implement, and ev...
Jana Straková, Pavel Pecina
EMNLP
2004
13 years 10 months ago
Unsupervised Domain Relevance Estimation for Word Sense Disambiguation
This paper presents Domain Relevance Estimation (DRE), a fully unsupervised text categorization technique based on the statistical estimation of the relevance of a text with respe...
Alfio Massimiliano Gliozzo, Bernardo Magnini, Carl...
AAAI
1998
13 years 9 months ago
Knowledge Lean Word-Sense Disambiguation
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
Ted Pedersen, Rebecca F. Bruce