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EMNLP
2009
8 years 8 months ago
Polylingual Topic Models
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...
David M. Mimno, Hanna M. Wallach, Jason Naradowsky...
ACL
2009
8 years 8 months ago
Employing Topic Models for Pattern-based Semantic Class Discovery
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...
Huibin Zhang, Mingjie Zhu, Shuming Shi, Ji-Rong We...
ACL
2010
8 years 8 months ago
Cross-Lingual Latent Topic Extraction
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...
Duo Zhang, Qiaozhu Mei, ChengXiang Zhai
ACL
1998
8 years 11 months ago
Context Management with Topics for Spoken Dialogue Systems
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...
Kristiina Jokinen, Hideki Tanaka
EMNLP
2007
8 years 11 months ago
A Topic Model for Word Sense Disambiguation
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...
Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu
ECIR
2010
Springer
8 years 11 months ago
Tripartite Hidden Topic Models for Personalised Tag Suggestion
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...
Morgan Harvey, Mark Baillie, Ian Ruthven, Mark Jam...
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
9 years 2 months ago
Online multiscale dynamic topic models
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...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
SIGIR
2006
ACM
9 years 4 months ago
LDA-based document models for ad-hoc retrieval
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 ...
Xing Wei, W. Bruce Croft
ICMCS
2006
IEEE
250views Multimedia» more  ICMCS 2006»
9 years 4 months ago
Adaptive Video News Story Tracking based on Earth Mover'S Distance
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...
Mats Uddenfeldt, Keiichiro Hoashi, Kazunori Matsum...
ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
9 years 4 months ago
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval
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...
Xuerui Wang, Andrew McCallum, Xing Wei
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