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325051 |
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Viewers
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5 |
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Views
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1083 |
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Dr. Dekang Lin
(b. ----,
d. ----)
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( Prev | Next )
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POSITION(S) / JOB TITLE(S):
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Associate Professor |
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I am interested Natural Language Processing (NLP) and Machine Learning, especially in parsing, statistical language learning, and question answering.
My long term research goal is to develop a theory and a system for NLP that integrate language processing and language learning. The system consists of a processing module and learning module. The initial processing module is endowed with a set of manually coded knowledge. It is then used to process a large amount of natural language text, generating the parse trees and semantic representations for the sentences, for example. The learning module then extracts knowledge from the processed text. Example kinds of knowledge that can be acquired this way include statistics of words and word combinations, idiomatic usages, word similarity, unknown words, etc. Since the learning module takes as input the processed text, instead of raw text, it can acquire more kinds of knowledge with higher accuracy. The newly extracted knowledge can then be integrated into the processing module automatically and enables it to perform better. Such processing-learning cycles constitute a spiral learning process, in which the processing module gradually feed higher quality structures as input to the learning module and the learning module generate more and more accurate knowedge for the processing module.
I developed a principle-based broad-coverage parser for English. It has been used in many applications, such as information extraction and question answering.
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Associate Professor |
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Computing Science |
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University of Alberta |
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Only Visible to Members of getCITED
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Doctorate
(1992)
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University of Alberta
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Male / English
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Unknown |
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1107-2052
(Last changed on
2003/04/27 19:38:47)
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