23 search results - page 1 / 5 » Probabilistic models of ranking novel documents for faceted ... |
CIKM
2009
Springer
13 years 2 months ago
2009
Springer
Traditional models of information retrieval assume documents are independently relevant. But when the goal is retrieving diverse or novel information about a topic, retrieval mode...
WWW
2007
ACM
14 years 5 months ago
2007
ACM
In this paper, we define the problem of topic-sentiment analysis on Weblogs and propose a novel probabilistic model to capture the mixture of topics and sentiments simultaneously....
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper considers extractive summarization of Chinese spoken documents. In contrast to conventional approaches, we attempt to deal with the extractive summarization problem und...
CIKM
2005
Springer
13 years 10 months ago
2005
Springer
This paper presents a novel formulation and approach to the minimal document set retrieval problem. Minimal Document Set Retrieval (MDSR) is a promising information retrieval task...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...