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Curriculum Vitae
Research Statement
Current NLP
Research Interests:
- language processing in computational social science
- knowledge-based lexical semantics
- word sense disambiguation and semantic interpretation
- automatic knowledge acquisition from the Web
- applications of semantic interpretation
Publications:
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Hansen A. Schwartz, Fernando Gomez. 2012.
Chapter 21: Evaluating Semantic Metrics on Tasks of Concept Similarity. In Cross-Disciplinary Advances in Applied NLP: Issues and Approaches. IGI Global.
- [ pdf ]
Hansen Andrew Schwartz. 2011. (Doctoral dissertation)
The Acquisition of Lexical Knowledge from the Web for Aspects of Semantic Interpretation.
- [ pdf ]
Hansen A. Schwartz, Fernando Gomez. 2011.
Evaluating Semantic Metrics on Tasks of Concept Similarity. In FLAIRS-24. Palm Beach, Florida.
- [ pdf ]
Hansen A. Schwartz, Fernando Gomez. 2010. UCF-WS: Domain Word Sense Disambiguation Using Web Selectors.
In Proceedings of SemEval-2010: the 5th International Workshop on Semantic Evaluation Uppsala, Sweden
- [ pdf ]
Hansen A. Schwartz, Fernando Gomez. 2009. Using Web
Selectors for the Disambiguation of All Words. In NAACL-2009 Workshop on
Semantic Evaluations: Recent Achievements and Future Directions. Boulder, CO, USA.
- [ pdf, data ]
Hansen A. Schwartz, Fernando Gomez. 2009. Acquiring
Applicable Common Sense Knowledge from the Web. In NAACL-2009 Workshop on
Unsupervised and Minimally Supervised Learning of Lexical Semantics. Boulder, CO, USA.
- J. T. Malin, C. Millward, H. A. Schwartz, F. Gomez, D. R. Throop, and C. Thronesbery. 2009. Linguistic Text Mining for Problem
Reports. In IEEE International Conference on Systems, Man and Cybernetics. San Antonio, Texas.
- [ pdf ]
Hansen A. Schwartz, Fernando Gomez. 2008.
Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation. In CoNLL 2008: Proceedings of the Twelfth Conference
on Computational Natural Language Learning. Manchester, England.
- [ pdf ]
Hansen A. Schwartz, Fernando Gomez, Christopher Millward. 2008.
A Semantic Feature for Verbal Predicate and Semantic Role Labeling
Using SVMs. In FLAIRS-21. Coconut Grove, Florida.
Previously Instructed (at UCF):
- [ COP3330 ] Object Oriented Programming (Fall 06)
- COT3100 Recitation Introduction to Discrete Structures (Sum. 06)
- COP3503 Recitation Computer Science 2
Downloads:
- Concept Similarity Judgments sense-annotated versions of standard human-judgment datasets (described in FLAIRS-24 paper above).
- Normalized Depth Similarity Demo concept similarity based on normalized WordNet (described in the CoNLL-08 paper above).
- WordNet::Similarity::nd (e-mail to request software -- works with WordNet::Similarity module)
- CSK (`in' and `on' positive relationships) - Common Sense Knowledge for 30 nouns
- CSK experimental corpus - Annotated occurrences of 30 nouns
Let me know if you're interested in software from my research.
Other/Previous Research Interests:
- automatic spell correction for novel corpora
- SVM learning using WordNet features
- searching NASA space shuttle problem reports effectively using NLP
- music algorithms
- Evolving Chord Progressions as Neural Networks [ECPANN]
- dithering algorithms
Previous Affiliation:
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