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Date: 2015
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/1050286
Description: Most existing topic models make the bagof-words assumption that words are generated independently, and so ignore potentially useful information about word order. Previous attempts to use collocations ... More
Reviewed: Reviewed
Date: 2015
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/360507
Description: In applications we may want to compare different document collections: they could have shared content but also different and unique aspects in particular collections. This task has been called compara ... More
Reviewed: Reviewed
Date: 2015
Subject Keyword: topic segmentation | topic model | GMM | ordering
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/1057266
Description: Documents from the same domain usually discuss similar topics in a similar order. However, the number of topics and the exact topics discussed in each individual document can vary. In this paper we pr ... More
Reviewed: Reviewed
Date: 2014
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/332224
Description: We develop a novel maximum neighborhood margin discriminant projection (MNMDP) technique for dimensionality reduction of high-dimensional data. It utilizes both the local information and class informa ... More
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Reviewed: Reviewed
Date: 2014
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/338723
Description: Documents from the same domain usually discuss similar topics in a similar order. In this paper we present new ordering-based topic models that use generalised Mallows models to capture this regularit ... More
Reviewed: Reviewed
Date: 2013
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/275980
Description: In recent years the research on measuring relationship strength among the people in a social network has gained attention due to its potential applications of social network analysis. The challenge is ... More
Reviewed: Reviewed
Date: 2013
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/281052
Description: To digest tremendous documents efficiently, people often resort to their titles, which normally provide a concise and semantic representation of main text. Some titles however are misleading due to le ... More
Reviewed: Reviewed
Date: 2013
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/283552
Description: We present a new hierarchical Bayesian model for unsupervised topic segmentation. This new model integrates a point-wise boundary sampling algorithm used in Bayesian segmentation into a structured top ... More
Reviewed: Reviewed
Date: 2012
Language: eng
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.14/211944
Description: Topic models are increasingly being used for text analysis tasks, often times replacing ear- lier semantic techniques such as latent seman- tic analysis. In this paper, we develop a novel adaptive top ... More
Reviewed: Reviewed
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