Rodrigo Alarcón, Gerardo Sierra, and Carme Bach. 2009. Description and evaluation of a definition extraction system for spanish language. In WDE'09 Proceedings of the 1st Workshop on Definition Extraction, pages 7-13.
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Unsupervised cross-lingual representation learning at scale. arXiv preprint arXiv:1911.02116.
Jianjing Cui, Jun Long, Erxue Min, Qiang Liu, and Qian Li. 2018. Comparative study of cnn and rnn for deep learning based intrusion detection system. In Xingming Sun, Zhaoqing Pan, and Elisa Bertino, editors, Cloud Computing and Security, pages 159-170, Cham. Springer International Publishing.
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.
Rosa Del Gaudio and António Branco. 2009. Language independent system for definition extraction: first results using learning algorithms. In WDE'09 Proceedings of the 1st Workshop on Definition Extraction, pages 33-39.
Marti A Hearst. 1992. Automatic acquisition of hyponyms from large text corpora. In Proceedings of the 14th conference on Computational linguistics-Volume 2, pages 539-545. Association for Computational Linguistics.
Yoon Kim. 2014. Convolutional neural networks for sentence classification. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1746-1751, Doha, Qatar, October. Association for Computational Linguistics.
Diederik P. Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization.
Łukasz Kobylinski and Adam Przepiórkowski. 2008. Definition extraction with balanced random forests. In International Conference on Natural Language Processing, pages 237-247.
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016. Neural architectures for named entity recognition. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 260-270, San Diego, California, June. Association for Computational Linguistics.
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2019. BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics, 09.
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692.
Véronique Malaisé, Pierre Zweigenbaum, and Bruno Bachimont. 2004. Detecting semantic relations between terms in definitions. CompuTerm 2004 - 3rd International Workshop on Computational Terminology, pages 55-62.
Véronique Malaisé, Pierre Zweigenbaum, and Bruno Bachimont. 2007. Mining defining contexts to help structuring differential ontologies. Application-driven terminology engineering, 2:19.
Jonas Mueller and Aditya Thyagarajan. 2016. Siamese recurrent architectures for learning sentence similarity. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI'16, page 2786-2792. AAAI Press.
Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov. 2019a. Semantic textual similarity with Siamese neural networks. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 1004-1011, Varna, Bulgaria, September. INCOMA Ltd.
Tharindu Ranasinghe, Marcos Zampieri, and Hansi Hettiarachchi. 2019b. Brums at hasoc 2019: Deep learning models for multilingual hate speech and offensive language identification. In Proceedings of the 11th annual meeting of the Forum for Information Retrieval Evaluation (December 2019).
Nils Reimers and Iryna Gurevych. 2019. Sentence-bert: Sentence embeddings using siamese bert-networks. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 11.
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019. Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter. arXiv preprint arXiv:1910.01108.
Gerardo Sierra, Rodrigo Alarcón, César Aguilar, and Carme Bach. 2008. Definitional verbal patterns for semantic relation extraction. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication, 14(1):74-98.
Sasha Spala, Nicholas A. Miller, Yiming Yang, Franck Dernoncourt, and Carl Dockhorn. 2019. DEFT: A corpus for definition extraction in free- and semi-structured text. In Proceedings of the 13th Linguistic Annotation Workshop, pages 124-131.
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. Dropout: A simple way to prevent neural networks from overfitting. Journal of Machine Learning Research, 15(56):1929-1958.
Chi Sun, Xipeng Qiu, Yige Xu, and Xuanjing Huang. 2019. How to fine-tune bert for text classification? In Maosong Sun, Xuanjing Huang, Heng Ji, Zhiyuan Liu, and Yang Liu, editors, Chinese Computational Linguistics, pages 194-206, Cham. Springer International Publishing.
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R'emi Louf, Morgan Funtowicz, and Jamie Brew. 2019. Huggingface's transformers: State-of-the-art natural language processing. ArXiv, abs/1910.03771.
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019. Xlnet: Generalized autoregressive pretraining for language understanding. In Advances in neural information processing systems, pages 5754-5764.
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, and Philip H. S. Torr. 2015. Conditional random fields as recurrent neural networks. In Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), ICCV'15, page 1529-1537, USA. IEEE Computer Society.
