Daniel Hershcovich

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• 2025

  Annotating and Classifying Direct Speech in Historical Danish and Norwegian Literary Texts

  Al-Laith, A. M. A., Conroy, A., Degn, K. N., Bjerring-Hansen, J. & Hershcovich, D., 3 Mar 2025, Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025) : Proceedings of the Conference : March 3-4, 2025. Stymne, S. & Johansson, R. (eds.). University of Tartu Library, p. 1-7

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• Dying or Departing? Euphemism Detection for Death Discourse in Historical Texts

  Al-Laith, A. M. A., Conroy, A., Bjerring-Hansen, J., Pedersen, B. S., Levisen, C. & Hershcovich, D., 2025, Proceedings of the 31st International Conference on Computational Linguistics. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Association for Computational Linguistics (ACL), Vol. January. p. 1353–1364 12 p.

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• 2024

  Bridging Cultural Nuances in Dialogue Agents through Cultural Value Surveys

  Cao, Y., Chen, M. & Hershcovich, D., 2024, Findings of the Association for Computational Linguistics: EACL 2024. Association for Computational Linguistics (ACL), p. 929–945

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• Development and Evaluation of Pre-trained Language Models for Historical Danish and Norwegian Literary Texts

  Al-Laith, A., Conroy, A., Bjerring-Hansen, J. & Hershcovich, D., 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 4811-4819

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  5 Citations (Scopus)

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

  Cao, Y., Ding, R., Chen, B., Li, X., Chen, M., Hershcovich, D., 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

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• Literary Time Travel: Distinguishing Past and Contemporary Worlds in Danish and Norwegian Fiction

  Bjerring-Hansen, J., Al-Laith, A. M. A., Rasmussen, S. Ø., Hershcovich, D. & Conroy, A., 2024, Proceedings of the Computational Humanities Research Conference 2024 (CHR 2024). CEUR-WS.org, p. 772-787 16 p. (CEUR Workshop Proceedings, Vol. 3834).

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• Noise, Novels, Numbers: A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature

  Al-Laith, A. M. A., Bjerring-Hansen, J., Hershcovich, D., Parby, J. I., Tangherlini, T. & Conroy, A., 2024, Proceedings of The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). Association for Computational Linguistics (ACL), p. 3344–3354 11 p.

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• Vision-Language Models under Cultural and Inclusive Considerations

  Karamolegkou, A., Rust, P., Cao, Y., Cui, R., Søgaard, A. & Hershcovich, D., 2024, Proceedings of the 1st Human-Centered Large Language Modeling Workshop. Soni, N., Flek, L., Sharma, A., Yang, D., Hooker, S. & Schwartz, H. A. (eds.). Association for Computational Linguistics (ACL), p. 53-66 14 p.

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• 2023

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

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

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  56 Citations (Scopus)

• A Two-Sided Discussion of Preregistration of NLP Research

  Søgaard, A., Hershcovich, D. & 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

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  2 Citations (Scopus)

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• Cross-Cultural Transfer Learning for Chinese Offensive Language Detection

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

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  10 Citations (Scopus)

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

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

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• On Evaluating Multilingual Compositional Generalization with Translated Datasets

  Wang, Z. & Hershcovich, D., 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

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  4 Citations (Scopus)

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• 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, D., 2023, Findings of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), p. 2119-2136

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  8 Citations (Scopus)

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• Probing for Hyperbole in Pre-Trained Language Models

  Schneidermann, N. S., Hershcovich, D. & Pedersen, B. S., 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.

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  2 Citations (Scopus)

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• Sentiment Classification of Historical Danish and Norwegian Literary Texts

  Al-Laith, A. M. A., Degn, K. N., Conroy, A., Pedersen, B. S., Bjerring-Hansen, J. & Hershcovich, D., May 2023, Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa). Association for Computational Linguistics (ACL), p. 324–334

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  7 Citations (Scopus)

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

  Cui, R., Lee, S., Hershcovich, D. & Søgaard, A., 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

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  3 Citations (Scopus)

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• 2022

  A Dataset of Sustainable Diet Arguments on Twitter

  Hansen, M. A. & Hershcovich, D., 2022, Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI). Association for Computational Linguistics, p. 40–58

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• Can AMR Assist Legal and Logical Reasoning?

  Schrack, N., Cui, R., López, H. A. & Hershcovich, D., 2022, Findings of the Association for Computational Linguistics: EMNLP 2022. Association for Computational Linguistics, p. 1555-1568

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  4 Citations (Scopus)

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• Challenges and Strategies in Cross-Cultural NLP

  Hershcovich, D., Frank, S., Lent, H., de Lhoneux, M., Abdou, M., Brandl, S., Bugliarello, E., Piqueras, L. C., Chalkidis, I., Cui, R., Fierro, C., Margatina, K., Rust, P. & Søgaard, A., 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

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  99 Citations (Scopus)

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• Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks

  Cui, R., Hershcovich, D. & Søgaard, A., 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

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  8 Citations (Scopus)

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• Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas

  Hope, T., Tamari, R., Hershcovich, D., 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

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  13 Citations (Scopus)

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• Towards Climate Awareness in NLP Research

  Hershcovich, D., 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

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  20 Citations (Scopus)

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• 2021

  A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs

  Hartmann, M., de Lhoneux, M., Hershcovich, D., Kementchedjhieva, Y. R., Nielsen, L. C., Qiu, C. & Søgaard, A., 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 244–257

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

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

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• Great Service! Fine-grained Parsing of Implicit Arguments

  Cui, R. & Hershcovich, D., 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

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

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

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

  Aralikatte, R. R., Abdou, M. H. M. A., Lent, H. C., Hershcovich, D. & Søgaard, A., 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).

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• Lexical Semantic Recognition

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

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  8 Citations (Scopus)

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• Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task

  Bollmann, M., Aralikatte, R., Bello, H. R. M., Hershcovich, D., de Lhoneux, M. & Søgaard, A., 2021, Proceedings of the 1st Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2021. Mager, M., Oncevay, A., Rios, A., Ruiz, I. V. M., Palmer, A., Neubig, G. & Kann, K. (eds.). Association for Computational Linguistics, p. 248-254

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  7 Citations (Scopus)

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• 2020

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

  Hershcovich, D., 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

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• Cross-lingual Semantic Representation for NLP with UCCA

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

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  3 Citations (Scopus)

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• HUJI-KU at MRP 2020: Two Transition-based Neural Parsers

  Arviv, O., Cui, R. & Hershcovich, D., 2020, Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing. Association for Computational Linguistics, p. 73-82

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  7 Citations (Scopus)

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• Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding

  Hershcovich, D., De Lhoneux, M., Kulmizev, A., Pejhan, E. & Nivre, J., 2020, Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies. Association for Computational Linguistics, p. 236-244

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• MRP 2019: Cross-Framework Meaning Representation Parsing

  Oepen, S., Abend, O., Hajic, J., Hershcovich, D., Kuhlmann, M., O’gorman, T., Xue, N., Chun, J., Straka, M. & Uresova, Z., 2020, Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning. Association for Computational Linguistics, p. 1-27

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  64 Citations (Scopus)

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• MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing

  Oepen, S., Abend, O., Abzianidze, L., Bos, J., Hajic, J., Hershcovich, D., Li, B., O’gorman, T., Xue, N. & Zeman, D., 2020, Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing. Association for Computational Linguistics, p. 1-22

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• Refining Implicit Argument Annotation for UCCA

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

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• TUPA at MRP 2019: A Multi-Task Baseline System

  Hershcovich, D. & 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

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  12 Citations (Scopus)

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• 2019

  Argument Invention from First Principles

  Bilu, Y., Gera, A., Hershcovich, D., Sznajder, B., Lahav, D., Moshkowich, G., Malet, A., Gavron, A. & Slonim, N., 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 1013–1026

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• Rewarding Coreference Resolvers for Being Consistent with World Knowledge

  Aralikatte, R., Lent, H., Gonzalez, A. V., Herschcovich, D., Qiu, C., Sandholm, A., Ringaard, M. & Søgaard, A., 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

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  14 Citations (Scopus)

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

  Hershcovich, D., 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

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• Syntactic Interchangeability inWord Embedding Models

  Hershcovich, D., 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

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• Syntactic Interchangeability in Word Embedding Models

  Hershcovich, D., 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

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• The Language of Legal and Illegal Activity on the Darknet

  Choshen, L., Eldad, D., Hershcovich, D., Sulem, E. & Abend, O., 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, p. 4271-4279

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