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INTERSPEECH
2010
14 years 4 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 1 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 7 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 8 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
85
Voted
BMCBI
2010
129views more  BMCBI 2010»
14 years 9 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...