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» Using term informativeness for named entity detection
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SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
15 years 7 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
LREC
2008
172views Education» more  LREC 2008»
14 years 11 months ago
CallSurf: Automatic Transcription, Indexing and Structuration of Call Center Conversational Speech for Knowledge Extraction and
Being the client's first interface, call centres worldwide contain a huge amount of information of all kind under the form of conversational speech. If accessible, this infor...
Martine Garnier-Rizet, Gilles Adda, Frederik Caill...
GIS
2010
ACM
14 years 7 months ago
A data stream-based evaluation framework for traffic information systems
Traffic information systems based on mobile, in-car sensor technology are a challenge for data management systems as a huge amount of data has to be processed in real-time. Data m...
Sandra Geisler, Christoph Quix, Stefan Schiffer
WWW
2009
ACM
15 years 4 months ago
StatSnowball: a statistical approach to extracting entity relationships
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-...
HUC
2010
Springer
14 years 11 months ago
Modeling people's place naming preferences in location sharing
Most location sharing applications display people's locations on a map. However, people use a rich variety of terms to refer to their locations, such as "home," &qu...
Jialiu Lin, Guang Xiang, Jason I. Hong, Norman M. ...