others.md

Other NLP Research Works

Including NLP Survey, Optimizing Methods in NLP, Grammatical Error Correction, Code Generation, Recurrent Neural Network, Multi-task Learning and etc.

Natural Language Survey

• [2018 JAIR] Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation, [paper], [bibtex].
• [2018 CIM] Recent Trends in Deep Learning Based Natural Language Processing, [paper], [bibtex].
• [2020 ArXiv] Low-resource Languages: A Review of Past Work and Future Challenges, [paper], [bibtex].

Code Generation

• [2017 ESEC/FSE] Are Deep Neural Networks the Best Choice for Modeling Source Code?, [paper], [bibtex].
• [2018 EMNLP] Mapping Language to Code in Programmatic Context, [paper], [bibtex], sources: [sriniiyer/concode].
• [2019 ArXiv] Maybe Deep Neural Networks are the Best Choice for Modeling Source Code, [paper], [bibtex], [slides], sources: [mast-group/OpenVocabCodeNLM].
• [2019 ArXiv] Neural Networks for Modeling Source Code Edits, [paper], [bibtex].

Grammatical Error Correction

• [2014 CoNLL] The CoNLL-2014 Shared Task on Grammatical Error Correction, [paper], [bibtex] [homepage].
• [2018 AAAI] A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction, [paper], [bibtex], [nusnlp/mlconvgec2018].
• [2018 NAACL] Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation, [paper], [bibtex].
• [2019 NAACL] Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data, [paper], [bibtex], sources: [zhawe01/fairseq-gec].

Multi-task and Transfer Learning

• [2011 JMLR] Natural Language Processing (Almost) from Scratch, [paper], [bibtex], sources: [attardi/deepnl].
• [2016 EMNLP] How Transferable are Neural Networks in NLP Applications?, [paper], [bibtex].
• [2017 EMNLP] A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks, [paper], [bibtex], [blog], sources: [rubythonode/joint-many-task-model], [hassyGo/charNgram2vec].
• [2019 AAAI] Latent Multi-task Architecture Learning or Sluice Networks: Learning What to Share Between Loosely Related Tasks, [paper], [bibtex], sources: [sebastianruder/sluice-networks].
• [2019 NAACL] Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together, [paper], [bibtex], sources: [taoshen58/mtsa].
• [2019 ACL] Choosing Transfer Languages for Cross-Lingual Learning, [paper], [bibtex], sources: [neulab/langrank].

Others

• [2018 ArXiv] Fast Directional Self-Attention Mechanism, [paper], [bibtex], sources: [taoshen58/Fast-DiSA].
• [2019 NAACL] Attention is not Explanation, [paper], [bibtex], sources: [successar/AttentionExplanation].
• [2019 EMNLP] Attention is not not Explanation, [paper], [bibtex], sources: [sarahwie/attention].
• [2019 ACL] Augmenting Neural Networks with First-order Logic, [paper], [bibtex], sources: [utahnlp/layer_augmentation].
• [2020 ICLR] BERTScore: Evaluating Text Generation with BERT, [paper], [bibtex], sources: [Tiiiger/bert_score].
• [2021 ArXiv] TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing, [paper], [bibtex], sources: [textflint/textflint].