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Title: Natural Language Processing
Department: Computer Science and Engineering
Author: Prof. Pushpak Bhattacharyya
University: IIT Bombay
Type: WebLink
Abstract: Natural language processing(NLP) requires
varieties of knowledge. Linguistic knowledge such as
grammar and dictionaries has been developed and shared
among the researchers in NLP for a decade or so. But
general knowledge for use in NLP is not. When we consider
about man-machine dialogue we have to prepare lots of
knowledge, and also strong inference functions such as
logical inference and common sense reasoning.
In this talk I will first explain some new developments
in knowledge for computational linguistics, then discuss
about what kind of knowledge is required for a dialogue
system.
Information retrieval on the Web is an important
technology. Main research interest of current information
retrieval is how the system can discard huge amount of
retrieved information which is not so well fitted to the
retrieval purposes, and focus on some essential information.
However we have to be always careful about the quality of
information on the Web. Therefore, an important next step
will be to check and indicate how reliable the obtained
information from the Internet is.
Estimating the confidence degree of information is a
very difficult problem. I will discuss some possible ways of
estimating the confidence degree of information. Natural
language processing technologies as well as logical and
common sense reasoning are involved in the estimation.
 
   
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