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» Probabilistic Document Length Priors for Language Models
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CIKM
2009
Springer
14 years 2 months ago
Joint sentiment/topic model for sentiment analysis
Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes ...
Chenghua Lin, Yulan He
SIGIR
2008
ACM
13 years 7 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
SIGIR
2012
ACM
11 years 10 months ago
Automatic term mismatch diagnosis for selective query expansion
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Le Zhao, Jamie Callan
CIKM
2008
Springer
13 years 9 months ago
Passage relevance models for genomics search
We present a passage relevance model for integrating syntactic and semantic evidence of biomedical concepts and topics using a probabilistic graphical model. Component models of t...
Jay Urbain, Ophir Frieder, Nazli Goharian
IPM
2007
105views more  IPM 2007»
13 years 7 months ago
Parsimonious translation models for information retrieval
In the KL divergence framework, the extended language modeling approach has a critical problem estimating a query model, which is the probabilistic model that encodes user’s inf...
Seung-Hoon Na, In-Su Kang, Jong-Hyeok Lee