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A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry (2402.17371v1)

Published 27 Feb 2024 in cs.CL

Abstract: There is a large volume of late antique and medieval Hebrew texts. They represent a crucial linguistic and cultural bridge between Biblical and modern Hebrew. Poetry is prominent in these texts and one of its main haracteristics is the frequent use of metaphor. Distinguishing figurative and literal language use is a major task for scholars of the Humanities, especially in the fields of literature, linguistics, and hermeneutics. This paper presents a new, challenging dataset of late antique and medieval Hebrew poetry with expert annotations of metaphor, as well as some baseline results, which we hope will facilitate further research in this area.

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References (31)
  1. Using imageability and topic chaining to locate metaphors in linguistic corpora. In Social Computing, Behavioral-Cultural Modeling and Prediction, pages 102–110, Berlin, Heidelberg. Springer Berlin Heidelberg.
  2. Melbert: Metaphor detection via contextualized late interaction using metaphorical identification theories. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1763–1773.
  3. Avihay Chriqui and Inbal Yahav. 2021. Hebert & HebEMO: a Hebrew BERT model and a tool for polarity analysis and emotion recognition. arXiv preprint arXiv:2102.01909.
  4. BERT: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 4171–4186, Minneapolis, Minnesota. Association for Computational Linguistics.
  5. Dicta. Dicta library. https://library.dicta.org.il.
  6. Shulamit Elizur, editor. 2004. The Liturgical Poems of Rabbi Pinhas Ha-Kohen. World Union of Jewish Studies, Jerusalem. In Hebrew.
  7. Dan Fass. 1991. met*: A method for discriminating metonymy and metaphor by computer. Computational Linguistics, 17(1):49–90.
  8. IlliniMet: Illinois system for metaphor detection with contextual and linguistic information. In Proceedings of the Second Workshop on Figurative Language Processing, pages 146–153, Online. Association for Computational Linguistics.
  9. Don’t stop pretraining: Adapt language models to domains and tasks. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8342–8360.
  10. Omri Keren and Omer Levy. 2021. Parashoot: A hebrew question answering dataset. In Proceedings of the 3rd Workshop on Machine Reading for Question Answering, pages 106–112.
  11. Laura S. Lieber. 2010. Yannai on Genesis: An Invitation to Piyyut, volume 36 of Monographs of the Hebrew Union College. Hebrew Union College Press.
  12. Offensive language detection in Hebrew: can other languages help? In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3715–3723.
  13. Metaphor detection using contextual word embeddings from transformers. In Proceedings of the Second Workshop on Figurative Language Processing, pages 250–255, Online. Association for Computational Linguistics.
  14. Zachary J. Mason. 2004. CorMet: A computational, corpus-based conventional metaphor extraction system. Computational Linguistics, 30(1):23–44.
  15. CATMA 5.0 tutorial. In DH. Alliance of Digital Humanities Organizations (ADHO).
  16. Ophir Münz-Manor. 2011. Figurative language in early Piyyut. In Giving a Diamond, pages 51–67. Brill.
  17. Barbara Plank. 2022. The “problem” of human label variation: On ground truth in data, modeling and evaluation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10671–10682, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
  18. Project Ben-Yehuda volunteers. Project Ben-Yehuda. https://benyehuda.org.
  19. Marina Rustow, editor. 2020. The Lost Archive: Traces of a Caliphate in a Cairo Synagogue. H-Africa.
  20. Sefaria. Sefaria library. https://www.sefaria.org.il/texts.
  21. AlephBERT: A Hebrew large pre-trained language model to start-off your Hebrew NLP application with. arXiv preprint arXiv:2104.04052.
  22. Introducing BEREL: BERT embeddings for rabbinic-encoded language. arXiv preprint arXiv:2208.01875.
  23. Black holes and white rabbits: Metaphor identification with visual features. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 160–170, San Diego, California. Association for Computational Linguistics.
  24. Statistical metaphor processing. Computational Linguistics, 39(2):301–353.
  25. DeepMet: A reading comprehension paradigm for token-level metaphor detection. In Proceedings of the second workshop on figurative language processing, pages 30–39.
  26. Cross-lingual metaphor detection using common semantic features. In Proceedings of the First Workshop on Metaphor in NLP, pages 45–51, Atlanta, Georgia. Association for Computational Linguistics.
  27. Literal and metaphorical sense identification through concrete and abstract context. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 680–690, Edinburgh, Scotland, UK. Association for Computational Linguistics.
  28. Wout Jac Van Bekkum. 2008. The Hebrew liturgical poetry of Byzantine Palestine: Recent research and new perspectives. Prooftexts: A Journal of Jewish Literary History, 28(2):232–246.
  29. Attention is all you need. Advances in neural information processing systems, 30.
  30. Metaphor: A computational perspective. Synthesis Lectures on Human Language Technologies, 9(1):1–160.
  31. Yorick Wilks. 1975. A preferential, pattern-seeking, semantics for natural language inference. Artificial intelligence, 6(1):53–74.
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