Kenji SagaeDepartment of Computer Science University of Tokyo Phone: +81 3 5803 1697 Fax: +81 3 5802 8872sagae+web@cs.cmu.edu |
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Go to my publications (updated April 2008). Get my dependency parser
for child language transcripts (CHILDES parser).
The child language transcripts annotated with grammatical relations
are available
directly from the CHILDES database (unzip the archive and you will
find the annotated files in the Eve directory).
October 2006: I moved to the University
of Tokyo. The contact information above is current. Novemeber 2005: I successfully defended
my thesis,
A multi-strategy approach to parsing of grammatical relations
in child language transcripts. Thesis Advisors (while at CMU) Additional thesis committee members Research
My primary reserch interest is natural language processing, and
much of my recent work has been on data-driven and
linguistically-motivated models for
syntactic parsing. Topics in my current work include:
interfacing shallow and deep syntactic analysis,
parser
ensembles, discriminative disambiguation models, parsing efficiency,
and descriptive adequacy of syntactic formalisms. I have applied this
research in topics ranging from child language development to
bioinformatics.
See my list of publications.
My research at CMU involved the identification
of grammatical relations, or GRs, (such as subjects, objects and adjuncts)
in corpora of transcribed dialogs between children and parents. Most
of these transcripts came from the
CHILDES Database,
but I also
worked with transcripts from other sources. A summary of my GR parsing approach for CHILDES appeared in Sagae, K. Davis, E., Lavie, A., MacWhinney, B. and Wintner, S. 2007.
High-accuracy annotation and parsing
of CHILDES transcripts. Proceedings of the ACL-2007 Workshop on
Cognitive Aspects of Computational Language Acquisition.
Prague, Czech Republic. For an example of how syntactic analysis of child
language can be used, look at Sagae, K., Lavie, A., and MacWhinney, B. (2005)
Automatic measurement of syntactic development in child langugage.
In proceedings of the 42nd Meeting of the Association for
Computational Linguistics. Ann Arbor, Michigan. I have also worked on applying discriminative dependency parsing
approaches (such as the one I developed for my thesis work) to
syntactic analysis based on more linguistically sophisticated models
(such as HPSG). For an introduction to this research, see Sagae, K., Miyao, Y. and Tsujii, J. 2007.
HPSG Parsing with shallow dependency
constraints. Proceedings of the 44th Meeting of the Association
for Computational Linguistics (ACL'07). Prague, Czech Republic. A different (but related) aspect of my dissertation is the
combination of several parsers to improve parsing accuracy. My
graph-based ensemble approach for dependency parsing was shown
to be very effective in the 2007 CoNLL shared task on multilingual
dependency parsing. My parser combination work was first published as Sagae, K. and Lavie, A. 2006.
Parser combination by reparsing. Proceedings of the 2006 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics - short papers (HLT-NAACL'06). New York, NY. Other topics I have worked on include parser evaluation,
conversion among syntactic representation formalisms,
machine translation evaluation, and identification of
protein-protein interactions from text. See my
list of publications.
Also, now I look much older than I do in the picture in this page. | |||