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» Unsupervised Relation Extraction From Web Documents
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DIS
2001
Springer
14 years 17 days ago
Eliminating Useless Parts in Semi-structured Documents Using Alternation Counts
We propose a preprocessing method for Web mining which, given semi-structured documents with the same structure and style, distinguishes useless parts and non-useless parts in each...
Daisuke Ikeda, Yasuhiro Yamada, Sachio Hirokawa
PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
13 years 11 months ago
Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
We present a general framework for the task of extracting specific information “on demand” from a large corpus such as the Web under resource-constraints. Given a database wit...
Pallika Kanani, Andrew McCallum, Shaohan Hu
COLING
2000
13 years 9 months ago
Automatic Acquisition of Domain Knowledge for Information Extraction
In developing an Infbrmation Extraction tIE) system tbr a new class of events or relations, one of the major tasks is identifying the many ways in which these events or relations ...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen, ...
AAAI
2012
11 years 10 months ago
Fine-Grained Entity Recognition
Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to...
Xiao Ling, Daniel S. Weld
CN
1998
105views more  CN 1998»
13 years 7 months ago
WebL - A Programming Language for the Web
In this paper we introduce a programming language for Web document processing called WebL. WebL is a high level, object-oriented scripting language that incorporates two novel fea...
Thomas Kistler, Hannes Marais