Statistical Parsing of Natural Language with Lexicalised Grammars

Add to your list(s) Download to your calendar using vCal

• Stephen Clark - Oxford University
• Wednesday 14 January 2009, 14:15-15:15
• Lecture Theatre 1, Computer Laboratory.

If you have a question about this talk, please contact Mateja Jamnik.

In this talk I will describe the problem of natural language parsing, and explain why it is such a difficult problem. I will characterise the problem in terms of three main questions: 1) how to obtain a grammar for natural language; 2) how to obtain all possible parses for an input sentence; and 3) how to use machine learning to obtain a model of parse plausibility. The answer to 1) will focus on Combinatory Categorial Grammar (CCG), a ‘lexicalised’ grammar formalism with a long history in theoretical linguistics. As well as having some desirable linguistic and formal properties, I will show that that the use of CCG leads to a surprisingly efficient practical parser. The answer to 2) will focus on standard chart-parsing techniques. The answer to 3) will focus on the perceptron, a simple but highly effective method which can be applied to complex structured learning problems.

This talk is part of the Computer Laboratory Wednesday Seminars series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge talks
• Chris Davis' list
• Computer Laboratory Wednesday Seminars
• Computer Laboratory talks
• Graduate-Seminars
• Guy Emerson's list
• Interested Talks
• Lecture Theatre 1, Computer Laboratory
• School of Technology
• Trust & Technology Initiative - interesting events
• bld31
• computer science
• se393's list

Note that ex-directory lists are not shown.