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» Linguistic Knowledge can Improve Information Retrieval
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COLING
2010
14 years 4 months ago
Tree Topological Features for Unlexicalized Parsing
As unlexicalized parsing lacks word token information, it is important to investigate novel parsing features to improve the accuracy. This paper studies a set of tree topological ...
Samuel W. K. Chan, Lawrence Y. L. Cheung, Mickey W...
IPM
2008
100views more  IPM 2008»
14 years 10 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
MT
2002
76views more  MT 2002»
14 years 9 months ago
Embedding Knowledge Elicitation and MT Systems within a Single Architecture
This paper describes Expedition, an environment designed to facilitate the quick ramp-up of MT systems from practically any alphabetic language (L) into English. The central compon...
Marjorie McShane, Sergei Nirenburg, James R. Cowie...
DEXAW
2007
IEEE
124views Database» more  DEXAW 2007»
14 years 11 months ago
A Process Improvement Approach to Improve Web Form Design and Usability
The research presented in this paper is an examination of how the concepts used in process improvement may be applied to a web form to improve design and usability. Although much ...
Sean Thompson, Torab Torabi
COLING
2010
14 years 4 months ago
Improving the Quality of Text Understanding by Delaying Ambiguity Resolution
Text Understanding systems often commit to a single best interpretation of a sentence before analyzing subsequent text. This interpretation is chosen by resolving ambiguous altern...
Doo Soon Kim, Ken Barker, Bruce W. Porter