Hansen Andrew Schwartz

 Visiting Assistant Professor,
Computer & Information Science
University of Pennsylvania


Lead Research Scientist,
World Well-Being Project
Positive Psychology Center

Other Groups:
Penn Social Media and Health Innovation Lab
Natural Language Processing for Social Science

research statement
curriculum vitae (CV)
e-mail: hansens -at- seas [dot] upenn . [edu]
office: 3701 Market Street (Science Center)
Room 219; 215-746-5085


News:

Research Interests:

  • large and scalable language analysis for computational social science
  • computational linguistics / natural language processing
    • lexical semantics
      • word sense disambiguation and semantic interpretation
      • eigenwords
    • automatic knowledge acquisition from the Web

Publications:

  • [ ] Maarten Sap, Gregory Park, Johannes Eichstaedt, Margaret Kern, Lyle Ungar, and H. Andrew Schwartz. 2014. Developing Age and Gender Predictive Lexica over Social Media. to appear in EMNLP-2014: the 2014 Conference on Empirical Methods in Natural Language Processing.
  • [ pdf ] H. Andrew Schwartz, Johannes Eichstaedt, Maarten Sap, Gregory Park, Margaret Kern, David Stillwell, Michal Kosinski, and Lyle Ungar. 2014. Towards Assessing Changes in Degree of Depression through Facebook. in ACL Workshop on Computational Linguistics and Clinical Psychology.
  • [ ] Raina Merchant, Yoonhe Ha, Charlene Wong, H. Andrew Schwartz, Maarten Sap, Lyle Ungar, and David Asch. 2014. The US Government #Shutdown and Health: an Emerging Role for Social Media. to appear in the American Journal of Public Health.
  • [ pdf, press: 1, 2, 3 ] H. Andrew Schwartz, Johannes Eichstaedt, Margaret L. Kern, Lukasz Dziurzynski, Stephanie Ramones, M. Agrawal, A. Shah, A., M. Kosinski, D. Stillwell, Martin Seligman, and Lyle Ungar. 2013. Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach. in PLOS ONE 8(9).
  • [ pdf ] M.L. Kern, J.C. Eichstaedt, H. A. Schwartz, G. Park, L. H. Ungar, D. J. Stillwell, M. Kosinski, L. Dziurzynski, and M.E.P. Seligman. 2013. From ``sooo excited!!!'' to ``so proud'': Using language to study development. in Developmental Psychology.
  • [ pdf ] M.L. Kern, J.C. Eichstaedt, H. A. Schwartz, L. Dziurzynski, L. H. Ungar, D. J. Stillwell, M. Kosinski, S.M. Ramones, and M.E.P. Seligman. 2013. The Online Social Self: An Open Vocabulary Approach to Personality. in Assessment.
  • [ pdf, blog, press ] H. Andrew Schwartz, Johannes Eichstaedt, Richard Lucas, Lukasz Dziurzynski, Margaret L Kern, Gregory Park, Megha Agrawal, Shrinidhi K Lakshmikanth, Shneha Jha, Martin Seligman and Lyle Ungar. 2013. Characterizing Geographic Variation in Well-Being using Tweets. in Seventh International AAAI Conference on Weblogs and Social Media (ICWSM 2013). Boston, MA.
  • [ pdf ] H. Andrew Schwartz, Johannes Eichstaedt, Eduardo Blanco, Lukasz Dziurzynski, Margaret L. Kern, Stephanie Ramones, Martin Seligman, and Lyle Ungar. 2013. Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. In *SEM-2013: Second Joint Conference on Lexical and Computational Semantics. Atlanta, GA.
  • [ pdf ] H. Andrew Schwartz, Johannes Eichstaedt, Lukasz Dziurzynski, Margaret Kern, Eduardo Blanco, Michal Kosinski, David Stillwell, Martin Seligman, Lyle H. Ungar. 2013. Toward Personality Insights from Language Exploration in Social Media. In AAAI-2013 Spring Symposium: Analyzing Microtext. Stanford, California.
  • [ pdf ] H. Andrew Schwartz, Fernando Gomez, Lyle H. Ungar. 2012. Improving Supervised Sense Disambiguation with Web-scale Selectors. In COLing-2012: the 24th International Conference on Computational Linguistics. Mumbai, India.
  • [ pdf ] Adam Kapelner, Krishna Kaliannan, H. Andrew Schwartz, Lyle Ungar and Dean Foster. 2012. New Insights from Coarse Word Sense Disambiguation in the Crowd. In COLing-2012: the 24th International Conference on Computational Linguistics. Mumbai, India.
  • [ pdf ] Sneha Jha, H. Andrew Schwartz, Lyle H. Ungar. 2012. Penn: Using Word Similarities to better Estimate Sentence Similarity. In SemEval-2012: the 6th International Workshop on Semantic Evaluation. Montreal, Canada.
  • 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.

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
Feel free to contact me if you are interested in any other 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
  • Evolving Chord Progressions as Neural Networks [ECPANN]
  • language and cognition
  • dithering algorithms

Previously Instructed (at the Univ. of Central Florida):

  • [ COP3330 ] Object Oriented Programming (Fall 06)
  • COT3100 Recitation Introduction to Discrete Structures (Sum. 06)
  • COP3503 Recitation Computer Science 2

Previous Affiliation:

  • Postdoctoral Research Fellow,
  • Computer & Information Science / Positiv Psychology Center
  • University of Pennsylvania
  • mentors: Lyle Ungar and Martin Seligman