Syntactic and semantic processing is at the heart of many NLP applications,
classically with the aim of producing a representation of
the meaning of a sentence, although a recent trend in the field has been the
increasing importance of more shallow forms of syntactic analysis.
This course will focus on parsing and the interpretation of parses,
with parsing understood as both "deep" and "shallow"
parsing. Deep parsing produces a total analysis of
the sentence. Shallow parsing identifies certain patterns
(usually in the forms of chunks or short phrases) within
the sentence and may leave large portions unanalyzed.
We will begin by examining some basic
deep parsing parsing algorithms, and examine their
place in a total analysis, question-answering
system. We will move to shallow parsing algorithms
and examine their place in simple "information extraction"
or template filling systems.
The text for the class will be Jurafsky and Martin, Speech and
Natural Language Processing.
http://www-rohan.sdsu.edu/~gawron/parsing
Prequisite: Some computer science or
some linguistics; preferably Ling 581.
Grading will be based on exercises/projects a
take-home midterm and final. There
is a writing component to this course,
as part of the preparation for
writing a thesis.
Tu Th 17:30-18:45
AH- 3150
Mailing address:
Jean Mark Gawron
Department of Linguistics and Oriental Languages
San Diego State University
5500 Campanile Drive
San Diego, CA 92182-7727
Telephone: (619) 594-0252
Office Hours: Tu Th 16:00-17:30, BAM 321
