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» Extracting Web Data Using Instance-Based Learning
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JAIR
2006
137views more  JAIR 2006»
15 years 2 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides
130
Voted
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
16 years 2 months ago
Mining templates from search result records of search engines
Metasearch engine, Comparison-shopping and Deep Web crawling applications need to extract search result records enwrapped in result pages returned from search engines in response ...
Hongkun Zhao, Weiyi Meng, Clement T. Yu
100
Voted
WWW
2002
ACM
16 years 3 months ago
Searching with numbers
A large fraction of the useful web comprises of specification documents that largely consist of hattribute name, numeric valuei pairs embedded in text. Examples include product in...
Rakesh Agrawal, Ramakrishnan Srikant
VLDB
2002
ACM
161views Database» more  VLDB 2002»
15 years 2 months ago
Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection
Many valuable text databases on the web have non-crawlable contents that are "hidden" behind search interfaces. Metasearchers are helpful tools for searching over many s...
Panagiotis G. Ipeirotis, Luis Gravano
143
Voted
COLING
2008
15 years 4 months ago
Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
Gholamreza Haffari, Anoop Sarkar