Daniel Hershcovich

Daniel Hershcovich

Tenure Track Assistant Professor


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  1. Published

    Pay More Attention to Relation Exploration for Knowledge Base Question Answering

    Cao, Y., Li, X., Liu, H., Dai, W., Chen, S., Wang, B., Chen, M. & Hershcovich, Daniel, 2023, Findings of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), p. 2119-2136

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  2. Published

    Probing for Hyperbole in Pre-Trained Language Models

    Schneidermann, Nina Skovgaard, Hershcovich, Daniel & Pedersen, Bolette Sandford, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop),. Association for Computational Linguistics, p. 200–211 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  3. Published

    Refining Implicit Argument Annotation for UCCA

    Cui, Ruixiang & Hershcovich, Daniel, 2020, Proceedings of the Second International Workshop on Designing Meaning Representations. Association for Computational Linguistics, p. 41-52

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. Published

    Rewarding Coreference Resolvers for Being Consistent with World Knowledge

    Aralikatte, R., Lent, H., Gonzalez, Ana Valeria, Hershcovich, Daniel, Qiu, C., Sandholm, A., Ringaard, M. & Søgaard, Anders, 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, p. 1229-1235

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. 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 proceeding › Article in proceedings › Research › peer-review

  6. 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 proceeding › Article in proceedings › Research › peer-review

  7. Published

    Sentiment Classification of Historical Danish and Norwegian Literary Texts

    Al-Laith, Ali Mohammed Ali, Nielsen Degn, K., Conroy, A., Pedersen, Bolette Sandford, Bjerring-Hansen, Jens & Hershcovich, Daniel, May 2023, Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa). Association for Computational Linguistics (ACL), p. 324–334

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 journal › Editorial › Research › peer-review

  9. 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 proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research › peer-review

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