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» URES : an Unsupervised Web Relation Extraction System
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ACL
2007
13 years 7 months ago
Sparse Information Extraction: Unsupervised Language Models to the Rescue
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
Doug Downey, Stefan Schoenmackers, Oren Etzioni
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
13 years 11 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang
WWW
2009
ACM
14 years 6 months ago
Unsupervised query categorization using automatically-built concept graphs
Automatic categorization of user queries is an important component of general purpose (Web) search engines, particularly for triggering rich, query-specific content and sponsored ...
Eustache Diemert, Gilles Vandelle
VLDB
2011
ACM
251views Database» more  VLDB 2011»
13 years 16 days ago
Harvesting relational tables from lists on the web
A large number of web pages contain data structured in the form of “lists”. Many such lists can be further split into multi-column tables, which can then be used in more seman...
Hazem Elmeleegy, Jayant Madhavan, Alon Y. Halevy
IJCAI
2007
13 years 7 months ago
Extracting Keyphrases to Represent Relations in Social Networks from Web
Social networks have recently garnered considerable interest. With the intention of utilizing social networks for the Semantic Web, several studies have examined automatic extract...
Junichiro Mori, Mitsuru Ishizuka, Yutaka Matsuo