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» A Trainable Document Summarizer
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SIGIR
2005
ACM
14 years 1 months ago
Do summaries help?
We describe a task-based evaluation to determine whether multi-document summaries measurably improve user performance when using online news browsing systems for directed research...
Kathleen McKeown, Rebecca J. Passonneau, David K. ...
DEXAW
2010
IEEE
202views Database» more  DEXAW 2010»
13 years 8 months ago
Identifying Sentence-Level Semantic Content Units with Topic Models
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...
Leonhard Hennig, Thomas Strecker, Sascha Narr, Ern...
CGA
2005
13 years 7 months ago
Visualizing Live Text Streams Using Motion and Temporal Pooling
In today's fast-paced world, it is increasingly difficult to understand and act promptly upon the content of the many information streams available. Temporal pooling addresse...
Conrad Albrecht-Buehler, Benjamin Watson, David A....
ICIP
2009
IEEE
13 years 5 months ago
Semantic keyword extraction via adaptive text binarization of unstructured unsourced video
We propose a fully automatic method for summarizing and indexing unstructured presentation videos based on text extracted from the projected slides. We use changes of text in the ...
Michele Merler, John R. Kender
ACL
2011
12 years 11 months ago
Jointly Learning to Extract and Compress
We learn a joint model of sentence extraction and compression for multi-document summarization. Our model scores candidate summaries according to a combined linear model whose fea...
Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein