146 search results - page 3 / 30 » Detecting Topic Drift with Compound Topic Models |
BMVC
2010
13 years 5 months 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...
NAACL
2003
13 years 8 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...
MM
2005
ACM
14 years 28 days 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...
ACL
2010
13 years 5 months 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...
SIGIR
2002
ACM
13 years 7 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. ...