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» Semi-supervised Learning for Opinion Detection
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EMNLP
2010
13 years 3 months ago
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
ACL
2010
13 years 3 months ago
Hierarchical Sequential Learning for Extracting Opinions and Their Attributes
Automatic opinion recognition involves a number of related tasks, such as identifying the boundaries of opinion expression, determining their polarity, and determining their inten...
Yejin Choi, Claire Cardie
ECIR
2009
Springer
14 years 2 months ago
Investigating Learning Approaches for Blog Post Opinion Retrieval
Blog post opinion retrieval is the problem of identifying posts which express an opinion about a particular topic. Usually the problem is solved using a 3 step process in which rel...
Shima Gerani, Mark James Carman, Fabio Crestani
CORR
2011
Springer
165views Education» more  CORR 2011»
12 years 9 months ago
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Consumers increasingly go online to rate, review and research products (Jansen, 2010; Litvin et al., 2008). Consequently, websites containing these reviews are becoming targets of...
Myle Ott, Yejin Choi, Claire Cardie, Jeffrey T. Ha...
CNSM
2010
13 years 3 months ago
Effective acquaintance management for Collaborative Intrusion Detection Networks
Abstract--An effective Collaborative Intrusion Detection Network (CIDN) allows distributed Intrusion Detection Systems (IDSes) to collaborate and share their knowledge and opinions...
Carol J. Fung, Jie Zhang, Raouf Boutaba