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Mona T. Diab
Center for
Computational Learning
Systems
Columbia University
Address: Interchurch Center
475 Riverside Dr. MC 7717
New
York, NY 10115
USA
office: Room A
email: mdiab AT cs DOT columbia DOT edu
phone: +1 (212) 870
1290
fax: +1 (212) 870 1285
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Welcome to my NEW homepage!
I am a research scientist at Columbia
University. I work at CCLS
in the NLP group with Owen
Rambow, Nizar Habash,
and Martin Jansche.
I finished my postdoctoral
work at Stanford
University in the linguistics department working
with Daniel Jurafsky. I was also
part of the Natural language Processing lab .
Before that, I worked in the Center for Spoken Language Research (CSLR)
at the University of Colorado at Boulder
for five months as a research associate after graduation, then
I moved to Stanford, California in January of 2004. I worked
with really nice people, Jim Martin,
Kadri Hacioglu and Wayne Ward.
I finished my PhD in the University of Maryland,
College Park,
where I was in the linguistics department and
was part of the CLIP lab in the University of Maryland Institute of
Advanced Computer Studies . I worked under the
supervision of a great advisor Philip
Resnik. My thesis, defended in May 2003, is
titled Word Sense
Disambiguation within a Multilingual Framework.
Earlier on, 1995-1997, I earned an MSc. degree in Artificial
Intelligence (Machine Learning) from the George
Washington University under the supervision of Professor Peter Bock.
Here is my CV.
If you are
interested, here is my research
statement and my teaching Statement
Research Interests
My main research area is statistical
natural language processing. I am specifically involved in computational
semantics, Arabic computational linguistics, semantic processing and machine
learning.
I am interested in cross
linguistic similarities and divergences in language use and how these types
of relations can be exploited to solve some of the language processing
problems.
Publications
- Diab, Mona. Relieving
the data acquisition bottleneck for Word Sense Disambiguation. Proceedings
of ACL 2004.[pdf].
- Diab, Mona,
Kadri Hacioglu and Daniel Jurafsky. Automatic Tagging of Arabic Text:
From raw text to Base Phrase Chunks. Proceedings of HLT-NAACL 2004.[pdf].
- Diab, Mona. The
Feasibility of Bootstrapping an Arabic WordNet
leveraging Parallel Corpora and an English WordNet.
Proceedings of the Arabic Language Technologies and Resources, NEMLAR,
Cairo 2004. [pdf].
- Diab, Mona. An
Unsupervised Approach for bootstrapping Arabic Sense Tagging. Proceedings
of Arabic Script Based Languages Workshop, Coling
2004.[pdf].
- Diab, Mona and
Philip Resnik, An Unsupervised Method for
Word Sense Tagging using Parallel Corpora, Proceedings of ACL,
2002.[ps].
- Diab, Mona. An
Unsupervised Method for Word Sense Tagging using Parallel Corpora: A
Preliminary Investigation. Special Interest Group in Lexical
Semantics (SIGLEX) Workshop, Association for Computational Linguistics,
2000.[pdf].
- Diab, Mona and
Steven Finch. A Statistical Word-Level Translation Model for
Comparable Corpora. Proc. of Conference on Content-based Multimedia
Information Access (RIAO2000), 2000.[ps].
- Resnik,
Philip and Mona Diab, Measuring Verb Similarity, Cognitive
Science Society (CogSci2000), 2000.[pdf].
- Dorr, Bonnie, Gina Levow, Douglas Oard,
Philip Resnik, Amy Weinberg, Mona Diab,
Maria Katsova. MADLIBS: An Event Translingual Lexical Conceptual Structure Based
Information Retrieval System. North American Association for
Computational Linguistics, NAACL 2000.
- Resnik,
Philip, Mari B. Olsen and Mona Diab, The
Bible as a Parallel Corpus: Annotating the `Book of 2000 Tongues',
Computers and the Humanities, 33(1-2), 1999.
- Diab, Mona,
John Schuster and Peter Bock. A Preliminary Statistical Investigation
into the impact of an N-Gram Analysis Approach based on Word Syntactic
Categories toward Text Author Classification, Proc. of 6th
International Conference on Artificial Intelligence & Applications,
Egypt 1998 [ps].
- Riopka,
Terry, Mona Diab and Peter Bock. Quantifying and Interpreting
the Effect of Intelligent Information. Proc. of 6th International
Conference on Artificial
Intelligence & Applications, Egypt
1998 [ps].
Software
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When I was at Stanford, we developed
a set of Arabic basic processing tools in conjunction with our NAACL'04 [paper].
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The tools utilize the Yamcha SVM tools to tokenize, POS tag and Base Phrase
Chunk Arabic text.
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You may download our tarred and
compressed -- (41.6mb) [package].
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The tools are compiled for a linux platform. For questions or comments contact me.
Last
updated on August 8th, 2005 By Mona T Diab
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