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» Using Information Extraction to Improve Document Retrieval
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IROS
2006
IEEE
107views Robotics» more  IROS 2006»
16 years 24 days ago
Evaluation of Prosodic and Voice Quality Features on Automatic Extraction of Paralinguistic Information
- Aiming to realize a non-verbal communication between humans and robots, the use of acoustic parameters related with voice quality features, besides classical prosodic features, i...
Carlos Toshinori Ishi, Hiroshi Ishiguro, Norihiro ...
IAT
2008
IEEE
16 years 1 months ago
Generating Personalized Summaries Using Publicly Available Web Documents
Many Knowledge workers are increasingly using online resources to find out latest developments in their specialty and articles of interest. To extract relevant information from s...
Chandan Kumar, Prasad Pingali, Vasudeva Varma
ACL
2003
15 years 8 months ago
Evaluation Challenges in Large-Scale Document Summarization
We present a large-scale meta evaluation of eight evaluation measures for both single-document and multi-document summarizers. To this end we built a corpus consisting of (a) 100 ...
Dragomir R. Radev, Simone Teufel, Horacio Saggion,...
ICIP
2009
IEEE
16 years 7 months ago
Extraction Of Contextual Information For Automotive Applications
In the near future automatic systems able to detect the traffic situation and to understand driver behavior and intent will probably become vehicles tool to improve driver safety....
SIGIR
2006
ACM
16 years 22 days ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova