EMNLP
2009
13 years 9 months ago
2009
Topic models are a useful tool for analyzing large text collections, but have previously been applied in only monolingual, or at most bilingual, contexts. Meanwhile, massive colle...
ACL
2009
13 years 9 months ago
2009
A semantic class is a collection of items (words or phrases) which have semantically peer or sibling relationship. This paper studies the employment of topic models to automatical...
ACL
2010
13 years 10 months ago
2010
Probabilistic latent topic models have recently enjoyed much success in extracting and analyzing latent topics in text in an unsupervised way. One common deficiency of existing to...
ACL
1998
14 years 1 months ago
1998
In this paper we discuss the use of discourse context in spoken dialogue systems and argue that the knowledge of the domain, modelled with the help of dialogue topics is important...
EMNLP
2007
14 years 1 months ago
2007
We develop latent Dirichlet allocation with WORDNET (LDAWN), an unsupervised probabilistic topic model that includes word sense as a hidden variable. We develop a probabilistic po...
ECIR
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. Social tagging systems provide methods for users to categorise resources using their own choice of keywords (or "tags") without being bound to a restrictive set...
KDD
2010
ACM
14 years 3 months ago
2010
ACM
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
SIGIR
2006
ACM
14 years 5 months ago
2006
ACM
Search algorithms incorporating some form of topic model have a long history in information retrieval. For example, cluster-based retrieval has been studied since the 60s and has ...
ICMCS
2006
IEEE
14 years 5 months ago
2006
IEEE
This paper proposes an adaptive system for video news story tracking based on the Earth Mover’s Distance (EMD). When an interesting story appears in the news, it is flagged man...
ICDM
2007
IEEE
14 years 6 months ago
2007
IEEE
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...