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Personal profile

Research Interests

Professor Birnbaum's research and teaching focus on applied Artificial Intelligence, natural language processing (NLP), intelligent information systems, social media data analytics, machine learning, with applications to media and journalism.  A key focus is on methods for the automatic generation of content by machine, including specifically the automatic generation of narratives from data.  Another important area of research is intelligent information systems, including models of automatic and contextual search and information diversity.  A third focus is on preference predication and recommendation using social media data.

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

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Grants

Research Output

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

  • Identifying "horse race" stories in election news

    Boon, M. & Birnbaum, L., Mar 16 2019, Proceedings of the 24th International Conference on Intelligent User Interfaces, IUI 2019. Association for Computing Machinery, p. 117-118 2 p. (International Conference on Intelligent User Interfaces, Proceedings IUI).

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

    Thousands of small, constant rallies: A large-scale analysis of partisan Whatsapp groups

    Bursztyn, V. S. & Birnbaum, L., Aug 27 2019, Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019. Spezzano, F., Chen, W. & Xiao, X. (eds.). Association for Computing Machinery, Inc, p. 484-488 5 p. (Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019).

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

  • 2 Scopus citations

    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

  • 3 Scopus citations

    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. (International Conference on Intelligent User Interfaces, Proceedings IUI).

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

    1 Scopus citations