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» Word Sense Language Model for Information Retrieval
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EMNLP
2004
13 years 9 months ago
Unsupervised WSD based on Automatically Retrieved Examples: The Importance of Bias
This paper explores the large-scale acquisition of sense-tagged examples for Word Sense Disambiguation (WSD). We have applied the "WordNet monosemous relatives" method t...
Eneko Agirre, David Martínez
IR
2008
13 years 8 months ago
An analysis on document length retrieval trends in language modeling smoothing
Abstract. Document length is widely recognized as an important factor for adjusting retrieval systems. Many models tend to favor the retrieval of either short or long documents and...
David E. Losada, Leif Azzopardi
CLEF
2004
Springer
14 years 5 days ago
UB at CLEF2004: Cross Language Information Retrieval Using Statistical Language Models
This paper presents the results of the State University of New York at Buffalo (UB) in the Mono-lingual and Multi-lingual tasks at CLEF 2004. For these tasks we used an approach ba...
Miguel E. Ruiz, Munirathnam Srikanth
NIPS
2000
13 years 9 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
LKR
2008
13 years 10 months ago
Design and Prototype of a Large-Scale and Fully Sense-Tagged Corpus
Sense tagged corpus plays a very crucial role to Natural Language Processing, especially on the research of word sense disambiguation and natural language understanding. Having a l...
Sue-jin Ker, Chu-Ren Huang, Jia-Fei Hong, Shi-Yin ...