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» Word Importance Discrimination Using Context Information
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NLPRS
2001
Springer
13 years 12 months ago
Cross-Language Information Retrieval of Proper Nouns using Context Information
Translating news articles frequently involves finding foreign language equivalents for proper nouns occurring for the first time in an original article, a time-consuming and labor...
Isao Goto, Noriyoshi Uratani, Terumasa Ehara
SIGIR
2002
ACM
13 years 7 months ago
Term-specific smoothing for the language modeling approach to information retrieval: the importance of a query term
This paper follows a formal approach to information retrieval based on statistical language models. By introducing some simple reformulations of the basic language modeling approa...
Djoerd Hiemstra
AAAI
2004
13 years 8 months ago
SenseClusters - Finding Clusters that Represent Word Senses
SenseClusters is a freely available word sense discrimination system that takes a purely unsupervised clustering approach. It uses no knowledge other than what is available in a r...
Amruta Purandare, Ted Pedersen
IIR
2010
13 years 8 months ago
Semantic Vectors: an Information Retrieval Scenario
In this paper we exploit Semantic Vectors to develop an IR system. The idea is to use semantic spaces built on terms and documents to overcome the problem of word ambiguity. Word ...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
ICCV
2009
IEEE
15 years 12 days ago
Context by Region Ancestry
In this paper, we introduce a new approach for modeling visual context. For this purpose, we consider the leaves of a hierarchical segmentation tree as elementary units. Each le...
Joseph J. Lim, Pablo Arbelaez, Chunhui Gu, and Jit...