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IR
2010
14 years 8 months ago
Learning to rank with (a lot of) word features
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
79
Voted
WEBDB
2007
Springer
133views Database» more  WEBDB 2007»
15 years 3 months ago
EntityAuthority: Semantically Enriched Graph-Based Authority Propagation
This paper pursues the recently emerging paradigm of searching for entities that are embedded in Web pages. We utilize informationextraction techniques to identify entity candidat...
Julia Stoyanovich, Srikanta J. Bedathur, Klaus Ber...
78
Voted
SIGIR
2008
ACM
14 years 9 months ago
Knowledge transformation from word space to document space
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
Tao Li, Chris H. Q. Ding, Yi Zhang 0005, Bo Shao
162
Voted
SDM
2011
SIAM
370views Data Mining» more  SDM 2011»
14 years 13 days ago
Sparse Latent Semantic Analysis
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
MTA
2010
110views more  MTA 2010»
14 years 8 months ago
Thesaurus enrichment for query expansion in audiovisual archives
It is common practice in audiovisual archives to disclose documents using metadata from a structured vocabulary or thesaurus. Many of these thesauri have limited or no structure. T...
Laura Hollink, Véronique Malaisé, Gu...