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INTERSPEECH
2010
14 years 6 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
DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
15 years 3 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
EMNLP
2009
14 years 9 months ago
Matching Reviews to Objects using a Language Model
We develop a general method to match unstructured text reviews to a structured list of objects. For this, we propose a language model for generating reviews that incorporates a de...
Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Andrew Tomki...
CIKM
2010
Springer
14 years 10 months ago
Automatic metadata extraction from multilingual enterprise content
Enterprises provide professionally authored content about their products/services in different languages for use in web sites and customer care. For customer care, personalization...
Melike Sah, Vincent Wade
BMCBI
2010
129views more  BMCBI 2010»
14 years 11 months ago
LAITOR - Literature Assistant for Identification of Terms co-Occurrences and Relationships
Background: Biological knowledge is represented in scientific literature that often describes the function of genes/ proteins (bioentities) in terms of their interactions (biointe...
Adriano Barbosa-Silva, Theodoros G. Soldatos, Ivan...