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PVLDB
2010
161views more  PVLDB 2010»
13 years 3 months ago
Annotating and Searching Web Tables Using Entities, Types and Relationships
Tables are a universal idiom to present relational data. Billions of tables on Web pages express entity references, attributes and relationships. This representation of relational...
Girija Limaye, Sunita Sarawagi, Soumen Chakrabarti
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
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
TKDE
2012
270views Formal Methods» more  TKDE 2012»
11 years 7 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
BMCBI
2008
140views more  BMCBI 2008»
13 years 5 months ago
Corpus annotation for mining biomedical events from literature
Background: Advanced Text Mining (TM) such as semantic enrichment of papers, event or relation extraction, and intelligent Question Answering have increasingly attracted attention...
Jin-Dong Kim, Tomoko Ohta, Jun-ichi Tsujii