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» Indexing with WordNet synsets can improve Text Retrieval
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ICMCS
2005
IEEE
105views Multimedia» more  ICMCS 2005»
13 years 12 months ago
Speech-Based Visual Concept Learning Using Wordnet
Modeling visual concepts using supervised or unsupervised machine learning approaches are becoming increasing important for video semantic indexing, retrieval, and filtering appli...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
DASFAA
2005
IEEE
177views Database» more  DASFAA 2005»
13 years 12 months ago
SemEQUAL: Multilingual Semantic Matching in Relational Systems
In an increasingly multilingual world, it is critical that information management tools organically support the simultaneous use of multiple natural languages. A pre-requisite for ...
A. Kumaran, Jayant R. Haritsa
SIGIR
2012
ACM
11 years 8 months ago
To index or not to index: time-space trade-offs in search engines with positional ranking functions
Positional ranking functions, widely used in web search engines, improve result quality by exploiting the positions of the query terms within documents. However, it is well known ...
Diego Arroyuelo, Senén González, Mau...
SPIRE
2004
Springer
13 years 11 months ago
Metric Indexing for the Vector Model in Text Retrieval
In the area of Text Retrieval, processing a query in the vector model has been verified to be qualitatively more effective than searching in the boolean model. However, in case o...
Tomás Skopal, Pavel Moravec, Jaroslav Pokor...
WWW
2006
ACM
14 years 7 months ago
Optimizing scoring functions and indexes for proximity search in type-annotated corpora
We introduce a new, powerful class of text proximity queries: find an instance of a given "answer type" (person, place, distance) near "selector" tokens matchi...
Soumen Chakrabarti, Kriti Puniyani, Sujatha Das