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| Branches | https://github.com/bplank/awesome-neural-adaptation-in-NLP/branches |
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| README.md | https://github.com/bplank/awesome-neural-adaptation-in-NLP/blob/master/README.md |
| README.md | https://github.com/bplank/awesome-neural-adaptation-in-NLP/blob/master/README.md |
| contributing.md | https://github.com/bplank/awesome-neural-adaptation-in-NLP/blob/master/contributing.md |
| contributing.md | https://github.com/bplank/awesome-neural-adaptation-in-NLP/blob/master/contributing.md |
| taxonomy.png | https://github.com/bplank/awesome-neural-adaptation-in-NLP/blob/master/taxonomy.png |
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| README | https://github.com/bplank/awesome-neural-adaptation-in-NLP |
| Contributing | https://github.com/bplank/awesome-neural-adaptation-in-NLP |
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| https://opensource.org/licenses/MIT |
| https://github.com/sindresorhus/awesome |
| contributing.md | https://github.com/bplank/awesome-neural-adaptation-in-NLP/blob/master/contributing.md |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP/blob/master/taxonomy.png?raw=true |
| [survey paper] | https://arxiv.org/abs/2006.00632 |
| [Ramponi and Plank, COLING 2020] | https://www.aclweb.org/anthology/2020.coling-main.603/ |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#contents |
| Surveys | https://github.com/bplank/awesome-neural-adaptation-in-NLP#surveys |
| Collections | https://github.com/bplank/awesome-neural-adaptation-in-NLP#collections |
| Unsupervised DA | https://github.com/bplank/awesome-neural-adaptation-in-NLP#unsupervised-da |
| By methods | https://github.com/bplank/awesome-neural-adaptation-in-NLP#by-methods |
| Model centric methods | https://github.com/bplank/awesome-neural-adaptation-in-NLP#model-centric-methods |
| Feature-centric methods | https://github.com/bplank/awesome-neural-adaptation-in-NLP#feature-centric |
| Loss-centric methods | https://github.com/bplank/awesome-neural-adaptation-in-NLP#loss-centric |
| Data centric methods | https://github.com/bplank/awesome-neural-adaptation-in-NLP#data-centric-methods |
| Pseudo labeling methods | https://github.com/bplank/awesome-neural-adaptation-in-NLP#pseudo-labeling |
| Data selection methods | https://github.com/bplank/awesome-neural-adaptation-in-NLP#data-selection |
| Pre-training methods | https://github.com/bplank/awesome-neural-adaptation-in-NLP#pre-training |
| Hybrid methods | https://github.com/bplank/awesome-neural-adaptation-in-NLP#hybrid-methods |
| By tasks | https://github.com/bplank/awesome-neural-adaptation-in-NLP#by-tasks |
| Classification/inference | https://github.com/bplank/awesome-neural-adaptation-in-NLP#classification-inference |
| Sentiment analysis | https://github.com/bplank/awesome-neural-adaptation-in-NLP#sentiment-analysis |
| Language identification | https://github.com/bplank/awesome-neural-adaptation-in-NLP#language-identification |
| Binary text classification | https://github.com/bplank/awesome-neural-adaptation-in-NLP#binary-text-classification |
| Machine reading | https://github.com/bplank/awesome-neural-adaptation-in-NLP#machine-reading |
| Duplicate question detection | https://github.com/bplank/awesome-neural-adaptation-in-NLP#duplicate-question-detection |
| Stance detection | https://github.com/bplank/awesome-neural-adaptation-in-NLP#stance-detection |
| Political data identification | https://github.com/bplank/awesome-neural-adaptation-in-NLP#political-data-identification |
| Question answering | https://github.com/bplank/awesome-neural-adaptation-in-NLP#question-answering |
| Summarization | https://github.com/bplank/awesome-neural-adaptation-in-NLP#summarization |
| Structured prediction | https://github.com/bplank/awesome-neural-adaptation-in-NLP#structured-prediction |
| Natural language inference | https://github.com/bplank/awesome-neural-adaptation-in-NLP#natural-language-inference |
| Part-of-speech tagging | https://github.com/bplank/awesome-neural-adaptation-in-NLP#pos-tagging |
| Dependency parsing | https://github.com/bplank/awesome-neural-adaptation-in-NLP#dependency-parsing |
| Named entity recognition | https://github.com/bplank/awesome-neural-adaptation-in-NLP#named-entity-recognition |
| Event extraction | https://github.com/bplank/awesome-neural-adaptation-in-NLP#event-extraction |
| Relation extraction | https://github.com/bplank/awesome-neural-adaptation-in-NLP#relation-extraction |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#surveys |
| [Pan & Yang, 2010, IEEE] | https://sci-hub.tw/10.1109/msp.2014.2347059& |
| [Wang & Deng, Neurocomputing 2018] | https://arxiv.org/abs/1802.03601v4 |
| Wang et al., 2021 (technical report), ArXiv | https://arxiv.org/abs/2103.03097 |
| [Chu & Wang, COLING 2018] | https://www.aclweb.org/anthology/C18-1111.pdf |
| [Jiang, 2008; PhD dissertation, chapter 2] | https://www.ideals.illinois.edu/handle/2142/10870 |
| [Jiang, 2008, technical report] | http://www.mysmu.edu/faculty/jingjiang/papers/da_survey.pdf |
| [Plank, 2011; PhD dissertation, chapter 3] | https://www.rug.nl/research/portal/files/10469724/03c3.pdf |
| [Ruder, 2019; PhD dissertation] | https://ruder.io/thesis/neural_transfer_learning_for_nlp.pdf |
| [Hedderich et al., 2020] | https://arxiv.org/abs/2010.12309 |
| [Ruder, Vulić, Søgaard, JAIR 2019] | https://www.jair.org/index.php/jair/article/view/11640 |
| [Ruder, arXiv 2017] | https://arxiv.org/abs/1706.05098 |
| Kashyap et al. 2020 | https://arxiv.org/abs/2010.12198 |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#collections |
| awesome-domain-adaptation | https://github.com/zhaoxin94/awesome-domain-adaptation |
| NLP progress page for domain adaptation | http://nlpprogress.com/english/domain_adaptation.html |
| awesome-datascience | https://github.com/academic/awesome-datascience |
| The-NLP-Pandect | https://github.com/ivan-bilan/The-NLP-Pandect |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#unsupervised-da |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#by-methods |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#model-centric-methods |
| [Ziser and Reichart, CoNLL 2017] | https://www.aclweb.org/anthology/K17-1040 |
| [Ziser and Reichart, EMNLP 2018a] | https://www.aclweb.org/anthology/D18-1022 |
| [Ziser and Reichart, NAACL-HLT 2018b] | https://www.aclweb.org/anthology/N18-1112 |
| [Ziser and Reichart, ACL 2019] | https://www.aclweb.org/anthology/P19-1591 |
| [Miller, NAACL-HLT 2019] | https://www.aclweb.org/anthology/N19-1039 |
| [Glorot et al., ICML 2011] | https://icml.cc/2011/papers/342_icmlpaper.pdf |
| [Chen et al., ICML 2012] | https://icml.cc/2012/papers/416.pdf |
| [Yang and Eisenstein, ACL 2014] | https://www.aclweb.org/anthology/P14-2088 |
| [Clinchant et al., ACL 2016] | https://www.aclweb.org/anthology/P16-2005/ |
| [Ganin et al., JMLR 2016] | https://jmlr.org/papers/volume17/15-239/15-239.pdf |
| [Li et al., IJCAI 2017] | https://www.ijcai.org/Proceedings/2017/0311.pdf |
| [Kim et al., ACL 2017] | https://www.aclweb.org/anthology/P17-1119 |
| [Sato et al., CoNLL 2017] | https://www.aclweb.org/anthology/K17-3007 |
| [Wu et al., EMNLP 2017] | https://www.aclweb.org/anthology/D17-1187 |
| [Yasunaga et al., NAACL-HLT 2018] | https://www.aclweb.org/anthology/N18-1089 |
| [Shen et al., AAAI 2018] | https://arxiv.org/abs/1707.01217 |
| [Li et al., NAACL-HLT 2018] | https://www.aclweb.org/anthology/N18-2076 |
| [Alam et al., ACL 2018] | https://www.aclweb.org/anthology/P18-1099 |
| [Wang et al., EMNLP-IJCNLP 2019] | https://www.aclweb.org/anthology/D19-1254 |
| [Shah et al., EMNLP 2018] | https://www.aclweb.org/anthology/D18-1131 |
| [Fu et al., IJCNLP 2017] | https://www.aclweb.org/anthology/I17-2072 |
| [Rios et al., Bioinf. 2018] | https://academic.oup.com/bioinformatics/article/34/17/2973/4953706 |
| [Xu et al., arXiv 2019] | https://arxiv.org/abs/1902.02401 |
| [Shi et al., EMNLP 2018] | https://www.aclweb.org/anthology/D18-1125 |
| [Rocha, Lopes Cardoso, DeepLo 2019] | https://www.aclweb.org/anthology/D19-6102 |
| [Ghosal et al., ACL 2020] | https://www.aclweb.org/anthology/2020.acl-main.292 |
| [Naik, Rose, ACL 2020] | https://www.aclweb.org/anthology/2020.acl-main.681 |
| [Wright and Augenstein, EMNLP 2020] | https://arxiv.org/pdf/2009.07806.pdf |
| [Li and Tu, Findings of EMNLP 2020] | https://www.aclweb.org/anthology/2020.findings-emnlp.193/ |
| [Vu et al., EMNLP 2020] | https://www.aclweb.org/anthology/2020.emnlp-main.497/ |
| [Poerner et al., Findings of EMNLP 2020] | https://www.aclweb.org/anthology/2020.findings-emnlp.134/ |
| [Naik et al., EACL 2021] | https://aclanthology.org/2021.eacl-main.258.pdf |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#data-centric-methods |
| [Han, Eisenstein, EMNLP-IJCNLP 2019] | https://www.aclweb.org/anthology/D19-1433 |
| [Li et al., ACL 2019] | https://www.aclweb.org/anthology/P19-1229 |
| [Desai et al., EMNLP-IJCNLP 2019] | https://www.aclweb.org/anthology/D19-1478 |
| [Gururangan et al., ACL 2020] | https://www.aclweb.org/anthology/2020.acl-main.740/ |
| [Shakeri et al., EMNLP 2020] | https://www.aclweb.org/anthology/2020.emnlp-main.439/ |
| [Ye et al., EMNLP 2020] | https://www.aclweb.org/anthology/2020.emnlp-main.599/ |
| [Karouzos et al., NAACL 2021] | https://www.aclweb.org/anthology/2021.naacl-main.203.pdf |
| [van der Goot et al., 2021 NAACL] | https://www.aclweb.org/anthology/2021.naacl-main.197.pdf |
| [Naik et al., EACL 2021] | https://aclanthology.org/2021.eacl-main.258.pdf |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#hybrid-methods |
| [Saito et al., ICML 2017] | http://proceedings.mlr.press/v70/saito17a.html |
| [Ruder, Plank, ACL 2018] | https://www.aclweb.org/anthology/P18-1096 |
| [Jia et al., ACL 2019] | https://www.aclweb.org/anthology/P19-1236 |
| [Rotman, Reichart, TACL 2019] | https://www.mitpressjournals.org/doi/full/10.1162/tacl_a_00294 |
| [Cui, Bollegala, RANLP 2019] | https://www.aclweb.org/anthology/R19-1025 |
| [Peng, Dredze, RepL4NLP 2017] | https://www.aclweb.org/anthology/W17-2612 |
| [Guo et al., AAAI(?) 2020] | https://arxiv.org/abs/2001.04362 |
| [Ben-David et al., TACL 2020] | https://arxiv.org/abs/2006.09075 |
| [Rennie et al., EMNLP 2020] | https://www.aclweb.org/anthology/2020.emnlp-main.87/ |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#by-tasks |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#classificationinference |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#sentiment-analysis |
| [Ziser and Reichart, CoNLL 2017] | https://www.aclweb.org/anthology/K17-1040 |
| [Ziser and Reichart, EMNLP 2018a] | https://www.aclweb.org/anthology/D18-1022 |
| [Ziser and Reichart, NAACL-HLT 2018b] | https://www.aclweb.org/anthology/N18-1112 |
| [Ziser and Reichart, ACL 2019] | https://www.aclweb.org/anthology/P19-1591 |
| [Miller, NAACL-HLT 2019] | https://www.aclweb.org/anthology/N19-1039 |
| [Glorot et al., ICML 2011] | https://icml.cc/2011/papers/342_icmlpaper.pdf |
| [Chen et al., ICML 2012] | https://icml.cc/2012/papers/416.pdf |
| [Clinchant et al., ACL 2016] | https://www.aclweb.org/anthology/P16-2005/ |
| [Ganin et al., JMLR 2016] | https://jmlr.org/papers/volume17/15-239/15-239.pdf |
| [Li et al., IJCAI 2017] | https://www.ijcai.org/Proceedings/2017/0311.pdf |
| [Shen et al., AAAI 2018] | https://arxiv.org/abs/1707.01217 |
| [Li et al., NAACL-HLT 2018] | https://www.aclweb.org/anthology/N18-2076 |
| [Rocha, Lopes Cardoso, DeepLo 2019] | https://www.aclweb.org/anthology/D19-6102 |
| [Ghosal et al., ACL 2020] | https://www.aclweb.org/anthology/2020.acl-main.292 |
| [Gururangan et al., ACL 2020] | https://www.aclweb.org/anthology/2020.acl-main.740/ |
| [Saito et al., ICML 2017] | http://proceedings.mlr.press/v70/saito17a.html |
| [Ruder, Plank, ACL 2018] | https://www.aclweb.org/anthology/P18-1096 |
| [Cui, Bollegala, RANLP 2019] | https://www.aclweb.org/anthology/R19-1025 |
| [Guo et al., AAAI 2020] | https://arxiv.org/abs/2001.04362 |
| [Ben-David et al., TACL 2020] | https://arxiv.org/abs/2006.09075 |
| [Ye et al., EMNLP 2020] | https://www.aclweb.org/anthology/2020.emnlp-main.599/ |
| [Karouzos et al., NAACL 2021] | https://www.aclweb.org/anthology/2021.naacl-main.203.pdf |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#language-identification |
| [Li et al., NAACL-HLT 2018] | https://www.aclweb.org/anthology/N18-2076 |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#binary-text-classification |
| [Clinchant et al., ACL 2016] | https://www.aclweb.org/anthology/P16-2005/ |
| [Kim et al., ACL 2017] | https://www.aclweb.org/anthology/P17-1119 |
| [Alam et al., ACL 2018] | https://www.aclweb.org/anthology/P18-1099 |
| [Gururangan et al., ACL 2020] | https://www.aclweb.org/anthology/2020.acl-main.740/ |
| [Wright and Augenstein, EMNLP 2020] | https://arxiv.org/pdf/2009.07806.pdf |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#machine-reading |
| [Wang et al., EMNLP-IJCNLP 2019] | https://www.aclweb.org/anthology/D19-1254 |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#duplicate-question-detection |
| [Shah et al., EMNLP 2018] | https://www.aclweb.org/anthology/D18-1131 |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#stance-detection |
| [Xu et al., arXiv 2019] | https://arxiv.org/abs/1902.02401 |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#political-data-identification |
| [Desai et al., EMNLP-IJCNLP 2019] | https://www.aclweb.org/anthology/D19-1478 |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#question-answering |
| [Rennie et al., EMNLP 2020] | https://www.aclweb.org/anthology/2020.emnlp-main.87/ |
| [Shakeri et al., EMNLP 2020] | https://www.aclweb.org/anthology/2020.emnlp-main.439/ |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#summarization |
| [Yu et al., NAACL 2021] | https://www.aclweb.org/anthology/2021.naacl-main.471.pdf |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#structured-prediction |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#natural-language-inference |
| [Rocha, Lopes Cardoso, DeepLo 2019] | https://www.aclweb.org/anthology/D19-6102 |
| [Gururangan et al., ACL 2020] | https://www.aclweb.org/anthology/2020.acl-main.740/ |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#part-of-speech-tagging |
| [Yang and Eisenstein, ACL 2014] | https://www.aclweb.org/anthology/P14-2088 |
| [Yasunaga et al., NAACL-HLT 2018] | https://www.aclweb.org/anthology/N18-1089 |
| [Han, Eisenstein, EMNLP-IJCNLP 2019] | https://www.aclweb.org/anthology/D19-1433 |
| [Ruder, Plank, ACL 2018] | https://www.aclweb.org/anthology/P18-1096 |
| [Peng, Dredze, RepL4NLP 2017] | https://www.aclweb.org/anthology/W17-2612 |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#dependency-parsing |
| [Sato et al., CoNLL 2017] | https://www.aclweb.org/anthology/K17-3007 |
| [Li et al., ACL 2019] | https://www.aclweb.org/anthology/P19-1229 |
| [Rotman, Reichart, TACL 2019] | https://www.mitpressjournals.org/doi/full/10.1162/tacl_a_00294 |
| [Li and Tu, Findings of EMNLP 2020] | https://www.aclweb.org/anthology/2020.findings-emnlp.193/ |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#named-entity-recognition |
| [Kim et al., ACL 2017] | https://www.aclweb.org/anthology/P17-1119 |
| [Naik, Rose, ACL 2020] | https://www.aclweb.org/anthology/2020.acl-main.681 |
| [Han, Eisenstein, EMNLP-IJCNLP 2019] | https://www.aclweb.org/anthology/D19-1433 |
| [Jia et al., ACL 2019] | https://www.aclweb.org/anthology/P19-1236 |
| [Peng, Dredze, RepL4NLP 2017] | https://www.aclweb.org/anthology/W17-2612 |
| [Vu et al., EMNLP 2020] | https://www.aclweb.org/anthology/2020.emnlp-main.497/ |
| [Poerner et al., Findings of EMNLP 2020] | https://www.aclweb.org/anthology/2020.findings-emnlp.134/ |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#event-extraction |
| [Naik et al., EACL 2021] | https://aclanthology.org/2021.eacl-main.258.pdf |
| https://github.com/bplank/awesome-neural-adaptation-in-NLP#relation-extraction |
| [Wu et al., EMNLP 2017] | https://www.aclweb.org/anthology/D17-1187 |
| [Fu et al., IJCNLP 2017] | https://www.aclweb.org/anthology/I17-2072 |
| [Rios et al., Bioinf. 2018] | https://academic.oup.com/bioinformatics/article/34/17/2973/4953706 |
| [Shi et al., EMNLP 2018] | https://www.aclweb.org/anthology/D18-1125 |
| [Gururangan et al., ACL 2020] | https://www.aclweb.org/anthology/2020.acl-main.740/ |
| https://arxiv.org/abs/2006.00632 | https://arxiv.org/abs/2006.00632 |
|
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