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» Linguistic Knowledge can Improve Information Retrieval
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ICCBR
2003
Springer
15 years 2 months ago
Unifying Weighting and Case Reduction Methods Based on Rough Sets to Improve Retrieval
Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features. We...
Maria Salamó, Elisabet Golobardes
NAACL
2010
14 years 7 months ago
Learning to Link Entities with Knowledge Base
This paper address the problem of entity linking. Specifically, given an entity mentioned in unstructured texts, the task is to link this entity with an entry stored in the existi...
Zhicheng Zheng, Fangtao Li, Minlie Huang, Xiaoyan ...
ISDA
2010
IEEE
14 years 7 months ago
Improving statistical parsing by linguistic regularization
Statistically-based parsers for large corpora, in particular the Penn Tree Bank (PTB), typically have not used all the linguistic information encoded in the annotated trees on whic...
Igor Malioutov, Robert C. Berwick
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SIGIR
2002
ACM
14 years 9 months ago
Empirical studies in strategies for Arabic retrieval
This work evaluates a few search strategies for Arabic monolingual and cross-lingual retrieval, using the TREC Arabic corpus as the test-bed. The release by NIST in 2001 of an Ara...
Jinxi Xu, Alexander Fraser, Ralph M. Weischedel
ECIR
2004
Springer
14 years 11 months ago
Complex Linguistic Features for Text Classification: A Comprehensive Study
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
Alessandro Moschitti, Roberto Basili