Daniel Hershcovich

Daniel Hershcovich

Tenure Track Assistant Professor


  1. 2023
  2. 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 proceedingArticle in proceedingsResearchpeer-review

  3. Published

    A Two-Sided Discussion of Preregistration of NLP Research

    Søgaard, Anders, Hershcovich, Daniel & de Lhoneux, M., 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 83-93

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

  4. Published

    Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study

    Cao, Y., Zhou, L., Lee, S., Cabello Piqueras, Laura, Chen, M. & Hershcovich, Daniel, 2023, Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP). Association for Computational Linguistics (ACL), p. 53-67

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

  5. Published

    Cross-Cultural Transfer Learning for Chinese Offensive Language Detection

    Zhou, L., Cabello Piqueras, Laura, Cao, Y. & Hershcovich, Daniel, 2023, EACL 2023 - Cross-Cultural Considerations in NLP @ EACL, Proceedings of the Workshop. Association for Computational Linguistics (ACL), p. 8-15

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

  6. Published

    Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features

    Zhou, L., Karamolegkou, Antonia, Chen, W. & Hershcovich, Daniel, 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 12684–12702

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

  7. Published

    On Evaluating Multilingual Compositional Generalization with Translated Datasets

    Wang, Zi & Hershcovich, Daniel, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics (ACL), p. 1669-1687

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

  8. 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 proceedingArticle in proceedingsResearchpeer-review

  9. 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 proceedingArticle in proceedingsResearchpeer-review

  10. Published

    What does the Failure to Reason with “Respectively” in Zero/Few-Shot Settings Tell Us about Language Models?

    Cui, Ruixiang, Lee, S., Hershcovich, Daniel & Søgaard, Anders, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Long Papers. Association for Computational Linguistics (ACL), Vol. 1. p. 8786-8800

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

ID: 214001680