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109 lines
4.1 KiB
BibTeX
109 lines
4.1 KiB
BibTeX
@article{devlin2018bert,
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title={Bert: Pre-training of deep bidirectional transformers for language understanding},
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author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
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journal={arXiv preprint arXiv:1810.04805},
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year={2018}
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}
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@article{shoeybi2019megatron,
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title={Megatron-lm: Training multi-billion parameter language models using model parallelism},
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author={Shoeybi, Mohammad and Patwary, Mostofa and Puri, Raul and LeGresley, Patrick and Casper, Jared and Catanzaro, Bryan},
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journal={arXiv preprint arXiv:1909.08053},
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year={2019}
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}
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@InProceedings{maas2011,
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author = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y. and Potts, Christopher},
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title = {Learning Word Vectors for Sentiment Analysis},
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booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
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month = {June},
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year = {2011},
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address = {Portland, Oregon, USA},
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publisher = {Association for Computational Linguistics},
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pages = {142--150},
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url = {http://www.aclweb.org/anthology/P11-1015}
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}
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@inproceedings{socher2013,
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title = "Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank",
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author = "Socher, Richard and Perelygin, Alex and Wu, Jean and Chuang, Jason and Manning, Christopher D. and Ng, Andrew and Potts, Christopher",
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booktitle = "Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing",
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month = oct,
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year = "2013",
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address = "Seattle, Washington, USA",
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publisher = "Association for Computational Linguistics",
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url = "https://www.aclweb.org/anthology/D13-1170",
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pages = "1631--1642",
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}
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@article{lim2018chemical,
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title={Chemical--gene relation extraction using recursive neural network},
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author={Lim, Sangrak and Kang, Jaewoo},
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journal={Database},
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volume={2018},
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year={2018},
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publisher={Oxford Academic}
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}
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@inproceedings{li2007scalable,
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title={Scalable term selection for text categorization},
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author={Li, Jingyang and Sun, Maosong},
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booktitle={Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)},
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pages={774--782},
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year={2007}
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}
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@misc{lee2019biobert,
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title={BioBERT: a pre-trained biomedical language representation model for biomedical text mining},
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author={Jinhyuk Lee and Wonjin Yoon and Sungdong Kim and Donghyeon Kim and Sunkyu Kim and Chan Ho So and Jaewoo Kang},
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year={2019},
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eprint={1901.08746},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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@misc{shin2020biomegatron,
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title={BioMegatron: Larger Biomedical Domain Language Model},
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author={Hoo-Chang Shin and Yang Zhang and Evelina Bakhturina and Raul Puri and Mostofa Patwary and Mohammad Shoeybi and Raghav Mani},
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year={2020},
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eprint={2010.06060},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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@article{vaswani2017attention,
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title={Attention is all you need},
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author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, Lukasz and Polosukhin, Illia},
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journal={arXiv preprint arXiv:1706.03762},
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year={2017}
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}
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@article{sennrich2015neural,
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title={Neural machine translation of rare words with subword units},
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author={Sennrich, Rico and Haddow, Barry and Birch, Alexandra},
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journal={arXiv preprint arXiv:1508.07909},
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year={2015}
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}
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@article{provilkov2019bpe,
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title={Bpe-dropout: Simple and effective subword regularization},
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author={Provilkov, Ivan and Emelianenko, Dmitrii and Voita, Elena},
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journal={arXiv preprint arXiv:1910.13267},
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year={2019}
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}
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@article{post2018call,
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title={A call for clarity in reporting BLEU scores},
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author={Post, Matt},
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journal={arXiv preprint arXiv:1804.08771},
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year={2018}
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}
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@misc{zhang2021sgdqa,
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title={SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services},
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author={Yang Zhang and Vahid Noroozi and Evelina Bakhturina and Boris Ginsburg},
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year={2021},
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eprint={2105.08049},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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} |