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ACL
1998
13 years 7 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...
PVLDB
2008
85views more  PVLDB 2008»
13 years 5 months ago
Scalable ad-hoc entity extraction from text collections
Supporting entity extraction from large document collections is important for enabling a variety of important data analysis tasks. In this paper, we introduce the "ad-hoc&quo...
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaud...
DASFAA
2005
IEEE
153views Database» more  DASFAA 2005»
13 years 12 months ago
FASST Mining: Discovering Frequently Changing Semantic Structure from Versions of Unordered XML Documents
Abstract. In this paper, we present a FASST mining approach to extract the frequently changing semantic structures (FASSTs), which are a subset of semantic substructures that chang...
Qiankun Zhao, Sourav S. Bhowmick
DAWAK
2000
Springer
13 years 10 months ago
COFE: A Scalable Method for Feature Extraction from Complex Objects
Abstract. Feature Extraction, also known as Multidimensional Scaling, is a basic primitive associated with indexing, clustering, nearest neighbor searching and visualization. We co...
Gabriela Hristescu, Martin Farach-Colton