@@ -212,27 +212,24 @@ For `<COMMAND>` you must enter one of the commands you find in the list below, w
## 📑 References <a name="references"></a>
-[Link to Li et al. Paper](https://github.com/haonan-li/TWM-metonymy-resolution/blob/main/metonymy_resolution_long.pdf)
[^1]:Chen, Jiaao, Wu, Yuwei & Yang, Diyi. ["Semi-supervised models via data augmentation for classifying interactive affective responses."](https://arxiv.org/abs/2004.10972) 2020.
-[Github Repository](https://github.com/haonan-li/TWM-metonymy-resolution) of Li et al.: "Target Word Masking for Location Metonymy Resolution"
[^2]:Devlin, Jacob, Chang, Ming-Wei, Lee, Kenton & Toutanova, Kristina. ["BERT: pre-training of deep bidirectional transformers for language understanding."](http://arxiv.org/abs/1810.04805) CoRR, 2018.
-[Link to TWM datasets](https://github.com/haonan-li/TWM-metonymy-resolution/tree/main/data)
[^3]:Li, Haonan, Vasardani, Maria, Tomko, Martin & Baldwin, Timothy. ["Target word masking for location metonymyresolution."](https://aclanthology.org/2020) Proceedings of the 28th International Conference on Computational Linguistics, December 2020.
[^1]:Fairseq Tool.
[^4]:Liu, Yinhan, Ott, Myle, Goyal, Naman, Du, Jingfei, Joshi, Mandar, Chen, Danqi, Levy, Omer, Lewis, Mike, Stoyanov, Veselin & Stoyanov, Veselin. ["RoBERTa: A robustly optimized BERT pretraining approach."](https://dblp.org/rec/journals/corr/abs-1907-11692.bib) CoRR, 2019.
[^2]:Backtranslation paper.
[^5]:Longpre, Shayne, Wang, Yu & DuBois, Chris. ["How effective is task-agnostic data augmentation for pretrained transformers?"](https://aclanthology.org/) Findings of the Association for Computational Linguistics: EMNLP 2020, 2020.
[^4]:Sun, L., Xia, C., Yin, W., Liang, T., Yu, P. S., & He, L. (2020). Mixup-transformer: dynamic data augmentation for NLP tasks. arXiv preprint arXiv:2010.02394.
[^6]:Markert, Katja & Nissim, Malvina. ["SemEval-2007 task 08: Metonymy resolution at SemEval-2007."](https://aclanthology.org/S07-1007) Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007), 2007.
[^5]:Li, Haonan, Vasardani, Maria, Tomko, Martin & Baldwin, Timothy. ["Target word masking for location metonymy resolution."](https://aclanthology.org/2020) Proceedings of the 28th International Conference on Computational Linguistics, December 2020.
[^6]:Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv preprint arXiv:1810.04805.
[^7]:Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., ... & Stoyanov, V. (2019). Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692.
[^7]:Ott, Myle, Edunov, Sergey, Baevski, Alexei, Fan, Angela, Gross, Sam, Ng, Nathan, Grangier, David & Auli, Michael. ["fairseq: A fast, extensible toolkit for sequence modeling."](https://aclanthology.org/N19-4009) Proceedings of NAACL-HLT 2019: Demonstrations, 2019.
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[^8]:Sun, L., Xia, C., Yin, W., Liang, T., Yu, P. S., & He, L. (2020). Mixup-transformer: dynamic data augmentation for NLP tasks. arXiv preprint arXiv:2010.02394.
