Bio

Jonathan K. Kummerfeld is a Senior Lecturer (ie., research tenure-track Assistant Professor) in the School of Computer Science at the University of Sydney. He completed his Ph.D. at the University of California, Berkeley, advised by Prof. Dan Klein, and was a postdoc at the University of Michigan from 2016 - 2021, working with a range of AI faculty, including Rada Mihalcea, Dragomir Radev, and Satinder Singh. Jonathan’s research has revealed new challenges in syntactic parsing, coreference resolution, and dialogue. He has proposed models and algorithms to address these challenges, improving the speed and accuracy of natural language processing systems. He has been on the program committee for over 50 conferences and workshops. He currently serves as the Co-CTO of ACL Rolling Review, and is a standing reviewer for the Computational Linguistics journal and the Transactions of the Association for Computational Linguistics journal. For more details, see his website: https://www.jkk.name

CV

PDF of my CV

Academic Path

  • University of Sydney, Honorary Senior Lecturer 2021 - 2022, Senior Lecturer, 2022 -, and DECRA Fellow, 2023 - 2025
  • Harvard University, Visiting Scholar, 2021 - 2022
  • University of Michigan, Postdoctoral Research Fellow, 2016 - 2021, Research Associate 2, 2021 - 2022
  • University of California, Berkeley, PhD, 2010 - 2016, Advisor: Dan Klein
  • University of Sydney, B.Sc. (Adv) (Hons), 2006 - 2009, Advisor: James R. Curran

Industry Roles

Consultant / Technical Adviser

  • Everlaw, October 2021 -
  • Clinc, January 2017 - February 2020
  • Naming Matters, May 2015 - December 2019
  • WriteLab / WriteTrack (acquired by Chegg), March 2014 - May 2018
  • Techbridge, September 2013 - May 2014

Intern:

  • Google Research, Summer 2012
  • Google, Summer 2007 / 2008

Awards / Grants

  • DARPA: Stabilizing Hostilities through Arbitration and Diplomatic Engagement Program (SHADE AIE), 2022-2023
    Co-PI on grant to develop collaborative AI models for the board game diplomacy with Maryland, Princeton, and ISI
  • ARC: Discovery Early Career Researcher Award (DECRA), 2021
    PI on grant to develop new methods for interactive executable semantic parsing
  • EMNLP: Conference Outstanding Reviewer, 2020
  • Bloomberg: Data Science Research Grant, 2019
    Co-PI on grant to develop adaptive annotation methods
  • Michigan: Institute for Data Science Music Initiative, 2018
    Co-PI on grant to develop models that map text to music
  • ACL: Conference Top Reviewer, 2018
  • Michigan: Outstanding Postdoctoral Fellow Award, 2018
    For excellence in research, mentorship, teaching, leadership, and service
  • AI2: Key Scientific Challenges Program, 2017
    Unrestricted funding to support research
  • Berkeley: Chair’s Special Award, 2013
    For services to the EECS department during student admissions and recruitment
  • Berkeley: Outstanding Graduate Student Instructor Award, 2011
    University wide award in recognition of exceptional achievements as a teacher
  • General Sir John Monash Award, 2009
    Postgraduate scholarships for Australians who demonstrate outstanding leadership potential Australia’s most prestigious postgraduate scholarships
  • Sydney: University Medal in Computer Science, 2009
    For outstanding results, awarded at the discretion of the university senate

Publications

See my publications page

Teaching and Talks

See my teaching page

Service

Community Roles

  • ACL Rolling Review Co-CTO, April 2022 - 2024
  • ACL Award Policy Committee Leader, 2021-2022
    Developed a policy for awards at ACL conferences

Grant Reviewing

  • ARC DP Detailed Assessor, 2022
  • ARC DECRA Detailed Assessor, 2022

Area Chair

  • ACL: Association for Computational Linguistics
    Computational Social Science and Social Media, 2020
    Resources and Evaluation, 2021
  • ACL Rolling Review Action Editor, 2021–2022
  • DSTC: Dialog System Technology Challenges, Task Organiser, 2018, 2019

University Internal

  • DEI Committee: Inclusive Environment, Michigan, 2020-2021
  • Hiring Comittee for Research Investigator, Michigan Medical School, 2017
  • Graduate Admissions Committee, Michigan Artificial Intelligence, 2017
  • Graduate Admissions Committee, Berkeley Artificial Intelligence, 2015
  • President, Berkeley Computer Science Graduate Student Association, 2012–2013

Thesis Committee

  • Laura (Wendlandt) Burdick, Michigan, 2020
  • Sai R. Gouravajhala, Michigan, 2020
  • Janarthanan Rajendran, Michigan, 2020

Journal Reviewer

  • CL: Computational Linguistics, 2020, 2021
  • TACL: Transactions of the Assoc.~for Computational Linguistics, 2016, 2020-2024
  • JAIR: Journal of Artificial Intelligence Research, 2017
  • CSL: Computer Speech & Language, 2017, 2019
  • Behaviour & Information Technology, 2021

Program Committee - Conferences

  • ACL: Assoc.~for Computational Linguistics, 2014 (2nd), 2016, 2017, 2018, 2019
  • NAACL: North American Chapter of the ACL, 2015, 2016, 2018, 2019, 2021
  • EMNLP: Empirical Methods in NLP, 2015, 2016, 2017, 2018, 2019, 2020, 2021
  • EACL: European Chapter of the ACL, 2017, 2021
  • AACL: Asia-Pacific Chapter of the ACL, 2020, 2022
  • CoNLL: Conf.~on Natural Language Learning, 2016, 2017, 2018, 2019, 2020, 2021
  • IJCNLP: International Joint Conference on Natural Language Processing, 2017
  • AAAI: Association for the Advancement of Artificial Intelligence, 2016, 2019
  • IJCAI: International Joint Conference on Artificial Intelligence, 2019
  • CHI: Conference on Human Factors in Computing Systems, 2019, 2022
  • CSCW: Computer-Supported Cooperative Work, 2020, 2021
  • UIST: ACM User Interface Software and Technology Symposium, 2019
  • WWW / WebConf: World Wide Web Conference, 2016, 2019
  • ACII: Affective Computing & Intelligent Interaction, 2021

Program Committee - Workshops

  • SRW: Student Research, ACL / NAACL, 2014, 2015, 2016, 2018, 2019, 2020, 2021 (x2), 2022
  • W-NUT: Noisy User-generated Text, 2018, 2019, 2020, 2021
  • IWPT: International Conference on Parsing Technologies, 2020, 2021
  • NLP-CSS: NLP and Computational Social Science, 2019, 2020
  • EthNLP: Ethics in NLP, 2017
  • Gen-Deep: New Forms of Generalization in Deep Learning and NLP, 2018
  • RepEval: Evaluating Vector Space Representations for NLP, 2019
  • DeepLo: Deep Learning for Low Resource NLP, 2019, 2022
  • IntEx-SemPar: Interactive and Executable Semantic Parsing, 2020
  • DaSH-LA: Data Science with Human-in-the-Loop: Language Advances, 2021
  • WiNLPL Widening NLP, 2021, 2022

Other Reviewer

  • Tapia Conference Poster Reviewer, 2020
  • Tapia Doctoral Consortium Judge, 2020

Mentor

  • SRW: Student Research Workshop, ACL / NAACL, 2019, 2020
  • ACL Year-Round Mentorship Program, 2021-2022

Press

Interviews and mentions of my work in media:

Misc

My academic family tree is: Dan Klein - Chris Manning - Joan Bresnan - Noam Chomsky - Zellig Harris - James Alan Montgomery - Hermann Vollrat Hilprecht - Friedrich Delitzsch and Heinrich Leberecht Fleischer - Unkown and Franz Julius Delitzsch - Unknown

My Erdős number is at most 5: J. K. Kummerfeld - D. Klein - J. Andreas - R. Kleinberg - L. Lovász - P. Erdős.