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» Identifying Text Polarity Using Random Walks
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ACL
2007
13 years 7 months ago
Opinion Mining using Econometrics: A Case Study on Reputation Systems
Deriving the polarity and strength of opinions is an important research topic, attracting significant attention over the last few years. In this work, to measure the strength and...
Anindya Ghose, Panagiotis G. Ipeirotis, Arun Sunda...
INFOCOM
2006
IEEE
14 years 8 days ago
Performance of Full Text Search in Structured and Unstructured Peer-to-Peer Systems
— While structured P2P systems (such as DHTs) are often regarded as an improvement over unstructured P2P systems (such as super-peer networks) in terms of routing efficiency, it...
Yong Yang, Rocky Dunlap, Mike Rexroad, Brian F. Co...
ACL
2009
13 years 4 months ago
Automatic sense prediction for implicit discourse relations in text
We present a series of experiments on automatically identifying the sense of implicit discourse relations, i.e. relations that are not marked with a discourse connective such as &...
Emily Pitler, Annie Louis, Ani Nenkova
ACL
2010
13 years 4 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
EMNLP
2010
13 years 4 months ago
Automatically Producing Plot Unit Representations for Narrative Text
In the 1980s, plot units were proposed as a conceptual knowledge structure for representing and summarizing narrative stories. Our research explores whether current NLP technology...
Amit Goyal, Ellen Riloff, Hal Daumé III