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TREC
2008
14 years 11 months ago
York University at TREC 2008: Blog Track
York University participated in the TREC 2008 Blog track, by introducing two opinion finding features. By initially focusing solely on the sentiment terms found in a document, usi...
Mladen Kovacevic, Xiangji Huang
79
Voted
ACL
2009
14 years 7 months ago
The Contribution of Stylistic Information to Content-based Mobile Spam Filtering
Content-based approaches to detecting mobile spam to date have focused mainly on analyzing the topical aspect of a SMS message (what it is about) but not on the stylistic aspect (...
Dae-Neung Sohn, Jung-Tae Lee, Hae-Chang Rim
IPM
2006
88views more  IPM 2006»
14 years 9 months ago
Is 1 noun worth 2 adjectives? Measuring relative feature utility
Are two adjectives worth the same as a single noun when documents are ordered based on decreasing topicality? We propose an easy to interpret single number Relative Feature Utilit...
Robert M. Losee
TREC
2004
14 years 11 months ago
The University of Michigan in Novelty 2004
This year we participated in the Novelty track. To find the relevant sentences, we combine sentence salience features that are inherited from text summarization domain with other ...
Günes Erkan
SIGIR
2004
ACM
15 years 3 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang