Daniel Hershcovich

Daniel Hershcovich

Tenure Track Assistant Professor


  1. 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

  2. Published

    Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics

    Hershcovich, Daniel, Schneider, N., Dvir, D., Prange, J., de Lhoneux, M. A. N. & Abend, O., 2020, Proceedings of the 28th International Conference on Computational Linguistic. Association for Computational Linguistics, p. 2947–2966

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

  3. Syntactic Interchangeability in Word Embedding Models

    Hershcovich, Daniel, Toledo, A., Halfon, A. & Slonim, N., 2019, Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP. Association for Computational Linguistics, p. 70-76

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

  4. 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

  5. SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA

    Hershcovich, Daniel, Aizenbud, Z., Choshen, L., Sulem, E., Rappoport, A. & Abend, O., 2019, Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019),. Association for Computational Linguistics, p. 1-10

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

  6. Published

    Challenges and Strategies in Cross-Cultural NLP

    Hershcovich, Daniel, Frank, Stella Christina, Lent, H., de Lhoneux, M., Abdou, M., Brandl, Stephanie, Bugliarello, Emanuele, Cabello Piqueras, Laura, Chalkidis, Ilias, Cui, Ruixiang, Fierro Mella, Constanza Catalina, Margatina, K., Rust, Phillip & Søgaard, Anders, 2022, ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Muresan, S., Nakov, P. & Villavicencio, A. (eds.). Association for Computational Linguistics (ACL), Vol. 1. p. 6997-7013

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

  7. Published

    TUPA at MRP 2019: A Multi-Task Baseline System

    Hershcovich, Daniel & Arviv, O., 2020, Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 CoNLL. Association for Computational Linguistics, p. 28-39

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

  8. Published

    Special Issue on NLP & Semantics

    Hershcovich, Daniel & Donatelli, L., 2021, In: KI - Kunstliche Intelligenz. 35, 3-4, p. 251-253 3 p.

    Research output: Contribution to journalEditorialResearchpeer-review

  9. 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

  10. Syntactic Interchangeability inWord Embedding Models

    Hershcovich, Daniel, Toledo, A., Halfon, A. & Slonim, N., 2019, Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP. Association for Computational Linguistics, p. 70–76

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

ID: 214001680