Daniel Hershcovich

Daniel Hershcovich

Tenure Track Assistant Professor


  1. 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

  2. Published

    Compositional Generalization in Multilingual Semantic Parsing over Wikidata

    Cui, Ruixiang, Aralikatte, R., Lent, H. & Hershcovich, Daniel, 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 937-955

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. 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

  4. Published

    Cross-lingual Semantic Representation for NLP with UCCA

    Abend, O., Dvir, D., Hershcovich, Daniel, Prange, J. & Schneider, N., 2020, Proceedings of the 28th International Conference on Computational Linguistic: Tutorial Abstracts. Association for Computational Linguistics, p. 1-9

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

  5. Published

    Cultural Adaptation of Recipes

    Cao, Y., Kementchedjhieva, Yova Radoslavova, Cui, Ruixiang, Karamolegkou, Antonia, Zhou, L., Dare, M., Donatelli, L. & Hershcovich, Daniel, 2024, In: Transactions of the Association for Computational Linguistics. 12, p. 80-99

    Research output: Contribution to journalJournal articleResearchpeer-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

    Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild

    Brandl, Stephanie, Hershcovich, Daniel & Søgaard, Anders, 2022, In: Proceedings of the International AAAI Conference on Web and Social Media. 16, p. 1368-1372

    Research output: Contribution to journalConference articleResearchpeer-review

  8. Published

    Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks

    Cui, Ruixiang, Hershcovich, Daniel & Søgaard, Anders, 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4875-4893

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

  9. Published

    Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking

    Cao, Y., Ding, R., Chen, B., Li, X., Chen, M., Hershcovich, Daniel, Xie, P. & Huang, F., 2024, Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics (ACL), p. 1516–1530

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

  10. 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

ID: 214001680