Sciweavers

1541 search results - page 4 / 309
» Extracting Web Data Using Instance-Based Learning
Sort
View
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
13 years 9 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland
NAACL
2003
13 years 6 months ago
A Web-Trained Extraction Summarization System
A serious bottleneck in the development of trainable text summarization systems is the shortage of training data. Constructing such data is a very tedious task, especially because...
Liang Zhou, Eduard H. Hovy
WEBI
2010
Springer
13 years 3 months ago
Relations Expansion: Extracting Relationship Instances from the Web
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. Duri...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
WWW
2005
ACM
14 years 6 months ago
Web data extraction based on partial tree alignment
This paper studies the problem of extracting data from a Web page that contains several structured data records. The objective is to segment these data records, extract data items...
Yanhong Zhai, Bing Liu
CN
2006
163views more  CN 2006»
13 years 5 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona