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DILS
2009
Springer
15 years 4 months ago
Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources
Increasingly, biological data is being shared over the deep web. Many biological queries can only be answered by successively searching a number of distinct web-sites. This paper i...
Tantan Liu, Fan Wang, Gagan Agrawal
LREC
2008
153views Education» more  LREC 2008»
14 years 11 months ago
Extracting and Querying Relations in Scientific Papers on Language Technology
We describe methods for extracting interesting factual relations from scientific texts in computational linguistics and language technology taken from the ACL Anthology. We use a ...
Ulrich Schäfer, Hans Uszkoreit, Christian Fed...
JMLR
2012
13 years 1 days ago
Deep Boltzmann Machines as Feed-Forward Hierarchies
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Grégoire Montavon, Mikio L. Braun, Klaus-Ro...
PVLDB
2008
124views more  PVLDB 2008»
14 years 9 months ago
Google's Deep Web crawl
The Deep Web, i.e., content hidden behind HTML forms, has long been acknowledged as a significant gap in search engine coverage. Since it represents a large portion of the structu...
Jayant Madhavan, David Ko, Lucja Kot, Vignesh Gana...
DEXAW
2004
IEEE
130views Database» more  DEXAW 2004»
15 years 1 months ago
Data Extraction from Web Data Sources
This paper provides an explanation of the basic data structures used in a new page analysis technique to create wrappers (data extractors) for the result pages produced by web sit...
Jerome Robinson