146 search results - page 3 / 30 » Detecting Topic Drift with Compound Topic Models |
119
Voted
BMVC
2010
15 years 13 days ago
2010
This work proposes a biologically inspired approach to integrate latent topic model with saliency detection. Firstly, a saliency detection algorithm is presented to discriminate s...
119
Voted
NAACL
2003
15 years 3 months ago
2003
In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
130
Voted
MM
2005
ACM
15 years 8 months ago
2005
ACM
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
140
Voted
ACL
2010
15 years 14 days ago
2010
This paper presents a probabilistic model for sense disambiguation which chooses the best sense based on the conditional probability of sense paraphrases given a context. We use a...
117
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SIGIR
2002
ACM
15 years 2 months ago
2002
ACM
Topic Detection and Tracking (TDT) tasks are evaluated using a cost function. The standard TDT cost function assumes a constant probability of relevance P(rel) across all topics. ...