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INTERSPEECH
2010
12 years 11 months ago
Extractive summarization using a latent variable model
Extractive multi-document summarization is the task of choosing sentences from a set of documents to compose a summary text in response to a user query. We propose a generative ap...
Asli Çelikyilmaz, Dilek Hakkani-Tür
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 1 months ago
Topic Evolution in a Stream of Documents.
Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
Alexander Hinneburg, Andrè Gohr, Myra Spili...
EMNLP
2009
13 years 2 months ago
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
A significant portion of the world's text is tagged by readers on social bookmarking websites. Credit attribution is an inherent problem in these corpora because most pages h...
Daniel Ramage, David Hall, Ramesh Nallapati, Chris...
AIRS
2010
Springer
13 years 1 months ago
Event Recognition from News Webpages through Latent Ingredients Extraction
We investigate the novel problem of event recognition from news webpages. "Events" are basic text units containing news elements. We observe that a news article is always...
Rui Yan, Yu Li, Yan Zhang, Xiaoming Li
ICSM
2009
IEEE
13 years 11 months ago
What's hot and what's not: Windowed developer topic analysis
As development on a software project progresses, developers shift their focus between different topics and tasks many times. Managers and newcomer developers often seek ways of un...
Abram Hindle, Michael W. Godfrey, Richard C. Holt