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» Integrating and Evaluating Neural Word Embeddings in Informa...
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ICDAR
2011
IEEE
12 years 4 months ago
BLSTM Neural Network Based Word Retrieval for Hindi Documents
—Retrieval from Hindi document image collections is a challenging task. This is partly due to the complexity of the script, which has more than 800 unique ligatures. In addition,...
Raman Jain, Volkmar Frinken, C. V. Jawahar, Raghav...
ESANN
2001
13 years 5 months ago
An integrated neural IR system
Over the years the amount and range of electronic text stored on the WWW has expanded rapidly, overwhelming both users and tools designed to index and search the information. It is...
Victoria J. Hodge, Jim Austin
ACL
2012
11 years 6 months ago
Improving Word Representations via Global Context and Multiple Word Prototypes
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
SIGIR
1999
ACM
13 years 8 months ago
Information Retrieval Based on Context Distance and Morphology
We present an approach to information retrieval based on context distance and morphology. Context distance is a measure we use to assess the closeness of word meanings. This conte...
Hongyan Jing, Evelyne Tzoukermann
NLDB
2010
Springer
13 years 2 months ago
Sense-Based Biomedical Indexing and Retrieval
This paper tackles the problem of term ambiguity, especially for biomedical literature. We propose and evaluate two methods of Word Sense Disambiguation (WSD) for biomedical terms ...
Ba-duy Dinh, Lynda Tamine