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» A Web-Trained Extraction Summarization System
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ACL
1998
13 years 9 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...
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
ANLP
2000
140views more  ANLP 2000»
13 years 9 months ago
Sentence Reduction for Automatic Text Summarization
We present a novel sentence reduction system for automatically removing extraneous phrases from sentences that are extracted from a document for summarization purpose. The system ...
Hongyan Jing
PRICAI
2004
Springer
14 years 29 days ago
Coherent Arrangement of Sentences Extracted from Multiple Newspaper Articles
Multi-document summarization is a challenge to information overload problem to provide a condensed text for a number of documents. Most multi-document summarization systems make u...
Naoaki Okazaki, Yutaka Matsuo, Mitsuru Ishizuka
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