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Personal profile

Education/Academic qualification

Computer Science, PhD, Yale University

… → 1986

Computer Science, MS, Yale University

… → 1980

BS, Yale University

… → 1977

Research interests

  • Case-based reasoning
  • Computer vision
  • Educational software
  • Human-computer interaction
  • Machine learning
  • Natural language processing

Fingerprint Dive into the research topics where Lawrence A Birnbaum is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 14 Similar Profiles
Semantics Engineering & Materials Science
Intelligent systems Engineering & Materials Science
User interfaces Engineering & Materials Science
Blogs Engineering & Materials Science
knowledge-based system Social Sciences
Seed Engineering & Materials Science
Websites Engineering & Materials Science
Expert systems Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2003 2020

Research Output 1977 2019

HCI for accurate, impartial and transparent journalism: Challenges and solutions

Aitamurto, T., Birnbaum, L. A., Hullman, J. R., Ananny, M., Diakopoulos, N. A., Ritchie, N., Anderson, C. W. & Hanson, M., May 2 2019, CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 3299007. (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Human computer interaction
Transparency
User interfaces

Extracting commonsense properties from embeddings with limited human guidance

Yang, Y., Birnbaum, L. A., Wang, J. & Downey, D. C., Jan 1 2018, ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Short Papers). Association for Computational Linguistics (ACL), p. 644-649 6 p. (ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Intelligent systems
Experiments
Problem-Based Learning
1 Citation (Scopus)

Who is the hero, the villain, and the victim? Detection of roles in news articles using natural language techniques

Gomez-Zara, D., Boon, M. & Birnbaum, L. A., Mar 5 2018, IUI 2018 - Proceedings of the 23rd International Conference on Intelligent User Interfaces. Association for Computing Machinery, p. 311-315 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Definition modeling: Learning to define word embeddings in natural language

Noraset, T., Liang, C., Birnbaum, L. A. & Downey, D. C., Jan 1 2017, p. 3259-3266. 8 p.

Research output: Contribution to conferencePaper

Semantics
Recurrent neural networks
Glossaries
Convolution
Error analysis

Ranking content based on semantic dimensions: A multi-objective approach

Cohn, J., Muthukumaran, S. & Birnbaum, L. A., Jul 31 2017, Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017. Association for Computing Machinery, Inc, p. 605-608 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Semantics
Multiobjective optimization
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