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» Unsupervised Relation Extraction From Web Documents
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DEXAW
2008
IEEE
123views Database» more  DEXAW 2008»
14 years 2 months ago
Text Extraction from the Web via Text-to-Tag Ratio
– We describe a method to extract content text from diverse Web pages by using the HTML document’s Text-to-Tag Ratio rather than specific HTML cues that may not be constant acr...
Tim Weninger, William H. Hsu
LREC
2010
183views Education» more  LREC 2010»
13 years 9 months ago
Extracting Lexico-conceptual Knowledge for Developing Persian WordNet
Semantic lexicons and lexical ontologies are some major resources in natural language processing. Developing such resources are time consuming tasks for which some automatic metho...
Mehrnoush Shamsfard, Hakimeh Fadaei, Elham Fekri
DKE
2007
119views more  DKE 2007»
13 years 7 months ago
XML subtree reconstruction from relational storage of XML documents
Numerous researchers have proposed to use relational databases to store and query XML documents. In these systems, the elements selected by an XML query are returned to an applica...
Artem Chebotko, Mustafa Atay, Shiyong Lu, Farshad ...
ISCIS
2003
Springer
14 years 1 months ago
A Cooperative Paradigm for Fighting Information Overload
The Web is mainly processed by humans. The role of the machines is just to transmit and display the contents of the documents, barely being able to do something else. Nowadays ther...
Daniel Gayo-Avello, Darío Álvarez Gu...
EMNLP
2006
13 years 9 months ago
Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement
Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual r...
Hany Hassan, Ahmed Hassan, Ossama Emam