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» Text Categorization for Improved Priors of Word Meaning
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NIPS
2008
13 years 9 months ago
Regularized Learning with Networks of Features
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...
ECIR
2009
Springer
14 years 4 months ago
Word Particles Applied to Information Retrieval
Document retrieval systems conventionally use words as the basic unit of representation, a natural choice since words are primary carriers of semantic information. In this paper w...
Evandro B. Gouvêa, Bhiksha Raj
SEMCO
2009
IEEE
14 years 2 months ago
LAIR: A Language for Automated Semantics-Aware Text Sanitization Based on Frame Semantics
—We present LAIR: A domain-specific language that enables users to specify actions to be taken upon meeting specific semantic frames in a text, in particular to rephrase and re...
Steffen Hedegaard, Søren Houen, Jakob Grue ...
ESWS
2008
Springer
13 years 9 months ago
Enhancing Semantic Search using N-Levels Document Representation
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: For a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...
ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
14 years 2 months ago
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval
Most topic models, such as latent Dirichlet allocation, rely on the bag-of-words assumption. However, word order and phrases are often critical to capturing the meaning of text in...
Xuerui Wang, Andrew McCallum, Xing Wei