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IR
2010
8 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...
ASPLOS
2010
ACM
8 years 9 months ago
Best-effort semantic document search on GPUs
Semantic indexing is a popular technique used to access and organize large amounts of unstructured text data. We describe an optimized implementation of semantic indexing and docu...
Surendra Byna, Jiayuan Meng, Anand Raghunathan, Sr...
TMM
2002
140views more  TMM 2002»
8 years 9 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
JASIS
2006
84views more  JASIS 2006»
8 years 10 months ago
A "stereo" document representation for textual information retrieval
Encouraged by a significant improvement over LSI (latent semantic indexing) approach in textual information retrieval of the DLSI (differential latent semantic indexing) approach ...
Liang Chen, Jia Zeng, Naoyuki Tokuda
CIVR
2010
Springer
215views Image Analysis» more  CIVR 2010»
9 years 2 months ago
Multi modal semantic indexing for image retrieval
Popular image retrieval schemes generally rely only on a single mode, (either low level visual features or embedded text) for searching in multimedia databases. Many popular image...
Chandrika Pulla, C. V. Jawahar
ICPR
2010
IEEE
9 years 2 months ago
Efficient Semantic Indexing for Image Retrieval
Semantic analysis of a document collection can be viewed as an unsupervised clustering of the constituent words and documents around hidden or latent concepts. This has shown to i...
Chandrika Pulla, Suman Karthik, C. V. Jawahar
DL
1998
Springer
180views Digital Library» more  DL 1998»
9 years 2 months ago
Automatic Subject Indexing Using an Associative Neural Network
The global growth in popularity of the World Wide Web has been enabled in part by the availability of browser based search tools which in turn have led to an increased demand for ...
Yi-Ming Chung, William M. Pottenger, Bruce R. Scha...
DL
1999
Springer
166views Digital Library» more  DL 1999»
9 years 2 months ago
Semantic Indexing for a Complete Subject Discipline
As part of the Illinois Digital Library Initiative (DLI) project we developed “scalable semantics” technologies. These statistical techniques enabled us to index large collect...
Yi-Ming Chung, Qin He, Kevin Powell, Bruce R. Scha...
CIKM
1999
Springer
9 years 2 months ago
Performance and Implications of Semantic Indexing in a Distributed Environment
A research prototype is presented for semantic indexing and retrieval in Information Retrieval. The prototype is motivated by a desire to provide a more efficient and effective in...
Conrad T. K. Chang, Bruce R. Schatz
PKDD
2005
Springer
125views Data Mining» more  PKDD 2005»
9 years 3 months ago
A Propositional Approach to Textual Case Indexing
Abstract. Problem solving with experiences that are recorded in text form requires a mapping from text to structured cases, so that case comparison can provide informed feedback fo...
Nirmalie Wiratunga, Robert Lothian, Sutanu Chakrab...
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