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TREC
2004
13 years 9 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
AAAI
2007
13 years 10 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
JCDL
2004
ACM
198views Education» more  JCDL 2004»
14 years 1 months ago
Finding authoritative people from the web
Today’s web is so huge and diverse that it arguably reflects the real world. For this reason, searching the web is a promising approach to find things in the real world. This ...
Masanori Harada, Shin-ya Sato, Kazuhiro Kazama
IJCAI
1997
13 years 9 months ago
Name-It: Naming and Detecting Faces in Video by the Integration of Image and Natural Language Processing
We have been developing Name-It, a system that associates faces and names in news videos. First, as the only knowledge source, the system is given news videos which include image ...
Shin'ichi Satoh, Yuichi Nakamura, Takeo Kanade
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining for proposal reviewers: lessons learned at the national science foundation
In this paper, we discuss a prototype application deployed at the U.S. National Science Foundation for assisting program directors in identifying reviewers for proposals. The appl...
Seth Hettich, Michael J. Pazzani