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[1]
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Dan Bikel, Vittorio Castelli, Radu Florian, and Benjamin Han.
Entity linking and slot filling through statistical processing and
inference rules.
In Proceedings of NIST Text Analysis Conference (TAC),
2009.
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[2]
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Benjamin Han.
Reasoning about a temporal scenario in natural language.
Proceedings of IJCAI Workshop on Spatial and Temporal
Reasoning, 2009.
[ Paper ]
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[3]
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Benjamin Han.
A constraint-based modeling of calendars.
Proceedings of AAAI Workshop on Spatial and Temporal Reasoning,
2008.
[ Paper ]
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[4]
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Radu Florian, Benjamin Han, Xiaoqiang Luo, Nanda Kambhatla, and Imed Zitouni.
IBM ACE'07 System Description.
In Proceedings of NIST 2007 Automatic Content Extraction
Evaluation, 2007.
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[5]
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B. Han, D. Gates, and L. Levin.
From Language to Time: A Temporal Expression Anchorer.
In Proceedings of the 13th International Symposium on Temporal
Representation and Reasoning (TIME 2006), 2006.
[ Paper ]
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[6]
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B. Han, D. Gates, and L. Levin.
Understanding Temporal Expressions in Emails.
In Proceedings of Human Language Technology conference - North
American chapter of the Association for Computational Linguistics annual
meeting (HLT-NAACL 2006), 2006.
[ Paper ]
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[7]
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B. Han, D. Gates, and L. Levin.
Anchoring temporal expressions in scheduling-related emails.
In G. Katz, J. Pustejovsky, and F. Schilder, editors,
Proceedings of Dagstuhl Seminar on Annotating, Extracting and Reasoning about
Time and Events, 2005.
[ Paper ]
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[8]
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Benjamin Han and Alon Lavie.
UKernel: A Unification Kernel.
Technical Report CMU-LTI-03-177, Language Technologies Institute,
Carnegie Mellon University, August 13 2004.
[ Paper ]
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[9]
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B. Han and A. Lavie.
A Framework for Resolution of Time in Natural Language.
TALIP Special Issue on Spatial and Temporal Information
Processing, 3(1), March 2004.
[ Paper ]
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[10]
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Benjamin Han and Michael Kohlhase.
A Time Calculus for Natural Language.
In The 4th Workshop on Inference in Computational Semantics,
Nancy, France, September 2003.
[ Paper ]
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[11]
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B. Han.
Building a Bilingual Dictionary with Scarce Resources: A
Genetic Algorithm Approach.
In the Student Research Workshop, the Second Meeting
of the North American Chapter of the Association for Computational
Linguistics (NAACL-2001), Pittsburgh, 2001.
[ Paper ]
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[12]
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A. Lavie, L. Levin, T. Schultz, C. Langley, B. Han, A. Tribble, D. Gates,
D. Wallace, and K. Peterson.
Domain Portability in Speech-to-speech Translation.
In Proceedings of the First International Conference on
Human Language Technology Research (HLT-2001), San Diego, CA,
2001.
[ Paper ]
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[13]
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R. K. Srihari, A. Rao, B. Han, S. Munirathnam, and X. Wu.
A Model for Multimodal Information Retrieval.
In the 8th International Conference on Manufacturing
Engineering (ICME-2000), New York, 2000.
[ Paper ]
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[14]
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B. Han, H.-T. Yang, and S.-J. Lee.
A model-based diagnosis system for identifying faulty components in
digital circuits.
Journal of Applied Intelligence, 10(1):37-52, 1999.
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[15]
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B. Han and S.-J. Lee.
Deriving minimal conflict Sets by CS-Trees with mark set in
diagnosis from first principles.
IEEE Transactions on Systems, Man, and Cybernetics - Part B:
Cybernetics, 29:281-286, 1999.
[ Paper ]
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[16]
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B. Han and S.-J. Lee.
A Genetic Algorithm Approach to Measurement Prescription in
Fault Diagnosis.
Information Sciences, 120(1-4):223-237, 1999.
[ Paper ]
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[17]
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B. Han, R. Nagarajan, R. K. Srihari, S. Munirathnam, and M. Srikanth.
TREC-8 Experiments at SUNY at Buffalo.
In Proceedings of the eighth Text REtrieval Conference
(TREC-8), pages 591-596, Maryland, 1999.
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[18]
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B. Han, H.-T. Yang, and S.-J. Lee.
Comments on the theory of measurement in diagnosis from first
principles.
Information Sciences, 121(3-4):349-365, 1999.
[ Paper ]
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[19]
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B. Han, H.-T. Yang, and S.-J. Lee.
DSDC: A diagnosis system for digital circuits based on first
principles.
In Proceedings of National Computer Symposium, volume 3,
pages A103-A108, Taichung, Taiwan, 1997.
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[20]
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B. Han.
Diagnosis of Combinatorial Digital Circuits from First
Principles.
Master's thesis, Institute of Electrical Engineering, National Sun
Yat-Sen University, Kaohsiung, Taiwan, 1996.
1st rev., Nov 1997.
[ Paper ]
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[21]
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B. Han and S.-J. Lee.
An Improvement to Hou's Approach of Deriving Minimal
Conflict Sets.
In Proceedings of IEEE International Conference on
Systems, Man, and Cybernetics, volume 2, pages 1448-1452, Beijing,
China, 1996.
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[22]
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B. Han, H.-T. Yang, and S.-J. Lee.
A hybrid diagnosis system for digital circuits.
In Proceedings of 8th International Conference on
Industrial and Engineering Applications of Artificial Intelligence
and Expert Systems (IEA/AIE95), pages 315-324, Melbourne,
Australia, 1995.
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Unpublished
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[1]
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Benjamin Han and Alon Lavie.
Using collocations to assess MT quality.
Technical report, Carnegie Mellon University, 2005.
[ Paper ]
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[2]
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Benjamin Han.
Automatic Grammar Induction for Machine Translation.
Unpublished draft, Language Technologies Institute, Carnegie Mellon
University, June 16 2001.
[ Paper ]
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[3]
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B. Han.
Improving Spoken Dialog Systems.
December 14 2000.
[ Paper ]
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[4]
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B. Han.
Language Acquisition between Computerized Agents.
1999.
[ Paper ]
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Presentations
- From Language to Time: A Temporal Expression Anchorer: This is the talk I gave in the 13th International Symposium on
Temporal Representation and Reasoning (TIME 2006), Hungary, 2006 (I gave a similar talk in HLT-NAACL 2006 but this one is much more detailed).
- Using
Collocations to Assess MT Quality: Presentation
on experiments using collocations to (1) tell humans from MT
systems apart; and (2) rank multiple MT systems (report).
- Understanding
Times - a Constraint-based Approach: This is the
talk I gave in the Dagstuhl
Seminar on Annotating, Extracting and Reasoning about Time
and Events, Germany, 2005.
- Presentation of Chapter 5, Basis Expansions and Regularizations,
of Hastie,
Tibshirani, Friedman,
"The Elements of Statistical Learning: Data Mining, Inference,
and Prediction". This is a joint class presentation by Allison
Bruce, me, Francisco
Pereira, Yanjun Qi.
Here is the tar file and
here is the Windoze-friendly zip
file. A useful matrix reference can be found here.
- System
RACER: RACER is
a fast implementation of Description
Logics ALCQHIR+ from University of Hamburg.
- Building
a Bilingual Dictionary with Scarce Resources: A Genetic Algorithm
Approach: these are the slides for my presentation
in Student Research Workshop, NAACL-2001,
Pittsburgh.
- Automatic
Grammar Induction for Machine Translation:
a survey talk about the GI approaches and its possible use
on MT.
- Language
Learnability: these are the slides for my
presentation in the LARG meeting
on March 8, 2001.
- TROVE stands
for Text Retrieval using Object VEctors. The system identifies
the syntactic groups as objects within a document, extracts relations
between the objects, and matches two documents using a two-level
process.
- Collection
Definition Language (CDL) is a new language I design
for describing document organization in a text collection,
and processing the text in a modular and more declarative fashion.
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