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Sentence Boundary Detection (SBD) is one of the foundational building blocks of Natural Language Processing (NLP), with incorrectly split sentences heavily influencing the output quality of downstream tasks.
Unsupervised Cross-lingual Representation Learning at Scale
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Unsupervised Multilingual Sentence Boundary Detection
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Sentence Boundary Detection and the Problem with the U.S.. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers . Association for Computational Linguistics, Boulder, Colorado, 241–244
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LEGAL-BERT: The Muppets straight out of Law School
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos. 2020 · 2010
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Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Portland, Oregon, USA, 42–47
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Building Large Monolingual Dictionaries at the Leipzig Corpora Collection: From 100 to 200 Languages
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Sentence Boundary Detection: A Long Solved Problem?. In Proceedings of COLING 2012: Posters . -, Mumbai, India, 985–994
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Fast WordPiece Tokenization
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Parallel Data, Tools and Interfaces in OPUS
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The Stanford CoreNLP Natural Language Processing Toolkit. In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations . Association for Computational Linguistics, Baltimore, Maryland, 55–60
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A Quantitative and Qualitative Evaluation of Sentence Boundary Detection for the Clinical Domain
Denis Newman-Griffis, Chaitanya Shivade, Eric Fosler-Lussier, and Albert Lai. 2016 · 2016
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Sentence Boundary Detection in Adjudicatory Decisions in the United States
Jaromir Savelka, Vern R Walker, Matthias Grabmair, and Kevin D Ashley. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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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) . Association for Computational Linguistics, Minneapolis, Minnesota, 4171–4186
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Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations . Association for Computational Linguistics, Online, 101–108
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D. Manning. 2020 · 2020
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Ilias Chalkidis, Manos Fergadiotis, and Ion Androutsopoulos. 2021 · 2021
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Sentence Boundary Detection in German Legal Documents:. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence . SCITEPRESS - Science and Technology Publications, Online Streaming, — Select a Country —, 812–821
Ingo Glaser, Sebastian Moser, and Florian Matthes. 2021 · 2021
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Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark. In Proceedings of the Natural Legal Language Processing Workshop 2021 . Association for Computational Linguistics, Punta Cana, Dominican Republic, 19–35
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AIG Investments.AI at the FinSBD Task: Sentence Boundary Detection through Sequence Labelling and BERT Fine-tuning. In Proceedings of the First Workshop on Financial Technology and Natural Language Processing . -, Macao, China, 81–87
Jinhua Du, Yan Huang, and Karo Moilanen. 2019 · 2019
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AI_Blues at FinSBD Shared Task: CRF-based Sentence Boundary Detection in PDF Noisy Text in the Financial Domain. In Proceedings of the First Workshop on Financial Technology and Natural Language Processing . -, Macao, China, 130–136
Ditty Mathew and Chinnappa Guggilla. 2019 · 2019
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Sentence Boundary Detection in Legal Text. In Proceedings of the Natural Legal Language Processing Workshop 2019 . Association for Computational Linguistics, Minneapolis, Minnesota, 31–38
George Sanchez. 2019 · 2019
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DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 2019
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Deep-EOS: General-Purpose Neural Networks for Sentence Boundary Detection. In Proceedings of the 15th Conference on Natural Language Processing (KONVENS) , Vol. -. -, -, 5
Stefan Schweter and Sajawel Ahmed. 2019 · 2019
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spaCy: Industrial-strength Natural Language Processing in Python
Matthew Honnibal, Ines Montani, Sofie Van Landeghem, and Adriane Boyd. 2020 · 2020
Cited alongside, same era.
Enhanced Sequence Labeling Based on Latent Variable Conditional Random Fields
Chun-Wei Lin, Yinan Shao, Ji Zhang, and Unil Yun. 2020 · 2020
Cited alongside, same era.
Joel Niklaus, Ilias Chalkidis, and Matthias Stürmer. 2021 · 2021
Later among the works it cites.
Lex Rosetta: Transfer of Predictive Models across Languages, Jurisdictions, and Legal Domains. In Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law . ACM, São Paulo Brazil, 129–138
Jaromir Savelka, Hannes Westermann, Karim Benyekhlef, Charlotte S. Alexander, Jayla C. Grant, David Restrepo Amariles, Rajaa El Hamdani, Sébastien Meeùs, Aurore Troussel, Michał Araszkiewicz, Kevin D. Ashley, Alexandra Ashley, Karl Branting, Mattia Falduti, Matthias Grabmair, Jakub Harašta, Tereza Novotná, Elizabeth Tippett, and Shiwanni Johnson. 2021 · 2021
Later among the works it cites.
EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain
Dennis Aumiller, Ashish Chouhan, and Michael Gertz. 2022 · 2022
Later among the works it cites.
LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension
Wenyue Hua, Yuchen Zhang, Zhe Chen, Josie Li, and Melanie Weber. 2022 · 2022
Later among the works it cites.
BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model From Scratch?
Joel Niklaus and Daniele Giofré. 2022 · 2022
Later among the works it cites.
An Empirical Study on Cross-X Transfer for Legal Judgment Prediction. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics, Online only, 32–46
Joel Niklaus, Matthias Stürmer, and Ilias Chalkidis. 2022 · 2022
Later among the works it cites.
Natural Language Processing in the Legal Domain
Daniel Martin Katz, Dirk Hartung, Lauritz Gerlach, Abhik Jana, and Michael James Bommarito. 2023 · 2023
Closest in time.
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain
Joel Niklaus, Veton Matoshi, Pooja Rani, Andrea Galassi, Matthias Stürmer, and Ilias Chalkidis. 2023 · 2023
Closest in time.