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CICLING
2003
Springer
13 years 10 months ago
A Maximum Entropy Approach for Spoken Chinese Understanding
: In this paper, we present a spoken language understanding method based on the maximum entropy model. We first extract certain features from the corpus, and then train the maximum...
Guodong Xie, Chengqing Zong, Bo Xu
EMNLP
2004
13 years 6 months ago
Instance-Based Question Answering: A Data-Driven Approach
Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...
Lucian Vlad Lita, Jaime G. Carbonell
ISMIR
2005
Springer
151views Music» more  ISMIR 2005»
13 years 10 months ago
Markov Random Fields and Maximum Entropy Modeling for Music Information Retrieval
Music information retrieval is characterized by a number of various user information needs. Systems are being developed that allow searchers to find melodies, rhythms, genres, an...
Jeremy Pickens, Costas S. Iliopoulos
SIGIR
2006
ACM
13 years 10 months ago
A framework to predict the quality of answers with non-textual features
New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we pre...
Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee, Soyeon P...
ACL
2009
13 years 2 months ago
Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?
In this paper, we analyze the impact of different automatic annotation methods on the performance of supervised approaches to the complex question answering problem (defined in th...
Yllias Chali, Sadid A. Hasan, Shafiq R. Joty