Sciweavers

50 search results - page 1 / 10
» Snowball: extracting relations from large plain-text collect...
Sort
View
DL
2000
Springer
162views Digital Library» more  DL 2000»
13 years 9 months ago
Snowball: extracting relations from large plain-text collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Luis Gravano
DMKD
2000
ACM
110views Data Mining» more  DMKD 2000»
13 years 9 months ago
Combining Strategies for Extracting Relations from Text Collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Eleazar Eskin, Luis Gravano
AUSAI
2003
Springer
13 years 10 months ago
Semi-Automatic Construction of Metadata from a Series of Web Documents
Metadata plays an important role in discovering, collecting, extracting and aggregating Web data. This paper proposes a method of constructing metadata for a specific topic. The m...
Sachio Hirokawa, Eisuke Itoh, Tetsuhiro Miyahara
CIKM
2005
Springer
13 years 10 months ago
Predicting accuracy of extracting information from unstructured text collections
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...
Eugene Agichtein, Silviu Cucerzan
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
14 years 5 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...