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ICWSM
2009
13 years 8 months ago
High-level Features for Learning Subjective Language across Domains
In this paper, we propose to study the characteristics for analyzing subjective content in documents. For that purpose, we present and evaluate a novel method based on abstraction...
Gaël Dias, Dinko Dimchev Lambov, Veska Nonche...
ACL
2008
14 years 13 days ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
WSDM
2009
ACM
148views Data Mining» more  WSDM 2009»
14 years 5 months ago
Information arbitrage across multi-lingual Wikipedia
The rapid globalization of Wikipedia is generating a parallel, multi-lingual corpus of unprecedented scale. Pages for the same topic in many different languages emerge both as a r...
Eytan Adar, Michael Skinner, Daniel S. Weld
CIKM
2008
Springer
14 years 29 days ago
Web-scale named entity recognition
Automatic recognition of named entities such as people, places, organizations, books, and movies across the entire web presents a number of challenges, both of scale and scope. Da...
Casey Whitelaw, Alexander Kehlenbeck, Nemanja Petr...
CIKM
2008
Springer
14 years 29 days ago
Intra-document structural frequency features for semi-supervised domain adaptation
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
Andrew Arnold, William W. Cohen