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Trained BERT models for phrase alignment with the constrained tree edit distance algorithm ...
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Trained BERT models for phrase alignment with the constrained tree edit distance algorithm ...
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Abstract:
These are the trained BERT models for phrase alignment with the constrained tree edit distance algorithm, published at EMNLP2020. Yuki Arase and Jun'ichi Tsujii. 2020. Compositional Phrase Alignment and Beyond. in Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1611-1623. Source codes are available at GitHub When you use these models, please cite the following paper. @inproceedings{arase-tsujii-2020-compositional, title = "Compositional Phrase Alignment and Beyond", author = "Arase, Yuki and Tsujii, Jun{'}ichi", booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)", month = nov, year = "2020", address = "Online", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/2020.emnlp-main.125", doi = "10.18653/v1/2020.emnlp-main.125", pages = "1611--1623" } ... : {"references": ["https://www.aclweb.org/anthology/2020.emnlp-main.125/"]} ...
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Keyword:
BERT; Phrase alignment
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URL: https://zenodo.org/record/4686662 https://dx.doi.org/10.5281/zenodo.4686662
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A Probabilistic Annotation Model for Crowdsourcing Coreference
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Distributed Document and Phrase Co-embeddings for Descriptive Clustering
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Biomedical event detection using rules, conditional random fields and parse tree distances
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Coreference Resolution in Biomedical Texts: a Machine Learning Approach
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Coreference Resolution in Biomedical Texts: a Machine Learning Approach ...
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Natural Language Processing – IJCNLP 2004 : First International Joint Conference, Hainan Island, China, March 22-24, 2004, Revised Selected Papers
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UB Frankfurt Linguistik
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