Daniel Hershcovich

Daniel Hershcovich

Tenure Track Assistant Professor


  1. 2022
  2. Published

    Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas

    Hope, T., Tamari, R., Hershcovich, Daniel, Kang, H. B., Chan, J., Kittur, A. & Shahaf, D., 2022, CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Inc., p. 1-15 12

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    Towards Climate Awareness in NLP Research

    Hershcovich, Daniel, Webersinke, N., Kraus, M., Bingler, J. A. & Leippold, M., 2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 2480-2494

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. 2021
  5. Published

    A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs

    Hartmann, M., de Lhoneux, M., Hershcovich, Daniel, Kementchedjhieva, Yova Radoslavova, Nielsen, Lukas Christian, Qiu, C. & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 244–257

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. An autonomous debating system

    IBM Research AI, I. R. A., 2021, In: Nature. 591, 7850, p. 379-384 6 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

    Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color

    Abdou, M., Kulmizev, A., Hershcovich, Daniel, Frank, S., Pavlick, E. & Søgaard, Anders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 109–132

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. Published

    Great Service! Fine-grained Parsing of Implicit Arguments

    Cui, Ruixiang & Hershcovich, Daniel, 2021, Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021). Association for Computational Linguistics, p. 65-77

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. Published

    How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task

    Aralikatte, R., Murrieta Bello, H. R., Hershcovich, Daniel, Bollmann, M. & Søgaard, Anders, 2021, Proceedings of the 8th Workshop on Asian Translation (WAT2021). Association for Computational Linguistics, p. 205-211

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    It’s the Meaning That Counts: The State of the Art in NLP and Semantics

    Hershcovich, Daniel & Donatelli, L., 2021, In: KI - Kunstliche Intelligenz. 35, 3-4, p. 255-270 16 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published

    Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards

    Aralikatte, R. R., Abdou, M. H. M. A., Lent, H. C., Hershcovich, Daniel & Søgaard, Anders, 2021, Proceedings of the AAAI-21 International Joint Conference on Artificial Intelligence. AAAI Press, 10 p. (Proceedings of the International Joint Conference on Artificial Intelligence; No. 14, Vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. Published

    Lexical Semantic Recognition

    Liu, N. F., Hershcovich, Daniel, Kranzlein, M. & Schneider, N., 2021, Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021). Association for Computational Linguistics, p. 49-56

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

ID: 214001680