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» URES : an Unsupervised Web Relation Extraction System
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ESWS
2007
Springer
14 years 3 months ago
Extracting Social Networks Among Various Entities on the Web
Abstract. Social networks have recently attracted much attention for their importance to the Semantic Web. Several methods exist to extract social networks for people (particularly...
Jin Yingzi, Yutaka Matsuo, Mitsuru Ishizuka
ICWE
2007
Springer
14 years 3 months ago
Fixing Weakly Annotated Web Data Using Relational Models
In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
Fatih Gelgi, Srinivas Vadrevu, Hasan Davulcu
EMNLP
2008
13 years 10 months ago
Mining and Modeling Relations between Formal and Informal Chinese Phrases from Web Corpora
We present a novel method for discovering and modeling the relationship between informal Chinese expressions (including colloquialisms and instant-messaging slang) and their forma...
Zhifei Li, David Yarowsky
PVLDB
2010
114views more  PVLDB 2010»
13 years 7 months ago
ObjectRunner: Lightweight, Targeted Extraction and Querying of Structured Web Data
We present in this paper ObjectRunner, a system for extracting, integrating and querying structured data from the Web. Our system harvests real-world items from template-based HTM...
Talel Abdessalem, Bogdan Cautis, Nora Derouiche
MM
2005
ACM
146views Multimedia» more  MM 2005»
14 years 2 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic