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» Extracting Large-Scale Knowledge Bases from the Web
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ACL
2003
15 years 7 months ago
A Syllable Based Word Recognition Model for Korean Noun Extraction
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...
Do-Gil Lee, Hae-Chang Rim, Heui-Seok Lim
ACL
2009
15 years 4 months ago
Mining Bilingual Data from the Web with Adaptively Learnt Patterns
Mining bilingual data (including bilingual sentences and terms1 ) from the Web can benefit many NLP applications, such as machine translation and cross language information retrie...
Long Jiang, Shiquan Yang, Ming Zhou, Xiaohua Liu, ...
KR
2004
Springer
15 years 11 months ago
Knowledge Discovery by Reversing Inductive Knowledge Representation
In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we ma...
Gabriele Kern-Isberner, Jens Fisseler
WISE
2002
Springer
15 years 11 months ago
Applying the Site Information to the Information Retrieval from the Web
In recent years, several information retrieval methods using information about the Web-links are developed, such as HITS and Trawling. In order to analyze the Web-links dividing i...
Yasuhito Asano, Hiroshi Imai, Masashi Toyoda, Masa...
ICITA
2005
IEEE
15 years 12 months ago
Searching the Web: From Keywords to Semantic Queries
Within the emergent Semantic Web framework, the use of traditional web search engines based on keywords provided by the users is not adequate anymore. Instead, new methods based o...
José A. Royo, Eduardo Mena, Jorge Bernad, A...