https://github.com/shujian2015/neural-net-linguistics

Papers about NN and linguistics
https://github.com/shujian2015/neural-net-linguistics

linguistics nlp papers

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Papers about NN and linguistics

• Host: GitHub
• URL: https://github.com/shujian2015/neural-net-linguistics
• Owner: Shujian2015
• License: mit
• Created: 2019-01-11T16:13:36.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-01-26T05:38:39.000Z (over 6 years ago)
• Last Synced: 2025-02-15T12:50:03.206Z (3 months ago)
• Topics: linguistics, nlp, papers
• Size: 24.4 KB
• Stars: 14
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## Neural Networks from a Linguistic View

### 2018

* Warstadt, Alex, et al. "[Grammatical Analysis of Pretrained Sentence Encoders with Acceptability Judgments.](https://arxiv.org/abs/1901.03438)" arXiv preprint arXiv: 1901.03438 (2018).

* Dai, Zihang, et al. "[Transformer-XL: Language Modeling with Longer-Term Dependency.](https://arxiv.org/abs/1901.02860)" arXiv preprint arXiv: 1901.02860 (2018).

* Goldberg, Yoav. "[Assessing BERT’s Syntactic Abilities.](https://arxiv.org/abs/1901.05287)" (2018).

* Futrell, Richard, and Roger P. Levy. "[Do RNNs learn human-like abstract word order preferences?](https://arxiv.org/abs/1811.01866)" arXiv preprint arXiv:1811.01866 (2018).

* Strubell, Emma, et al. "[Linguistically-Informed Self-Attention for Semantic Role Labeling.](https://arxiv.org/abs/1804.08199)" arXiv preprint arXiv:1804.08199 (2018).

* Jacovi, Alon, Oren Sar Shalom, and Yoav Goldberg. "[Understanding Convolutional Neural Networks for Text Classification.](https://arxiv.org/abs/1809.08037)" arXiv preprint arXiv:1809.08037 (2018).

* Tang, Gongbo, et al. "[Why Self-attention? A Targeted Evaluation Of Neural Machine Translation Architectures.](https://arxiv.org/abs/1808.08946)" arXiv preprint arXiv:1808.08946 (2018).

* Adhiguna, Kuncoro, et al. "[LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better.](http://www.aclweb.org/anthology/P18-1132)" (2018).

* Asaf, Amrami, et al. "[Word Sense Induction with Neural biLM and Symmetric Patterns.](http://arxiv.org/pdf/1808.08518.pdf)" arXiv preprint arXiv:1808.08518 (2018).

* Braden, Hancock, et al. "[Training Classifiers with Natural Language Explanations.](http://www.aclweb.org/anthology/P18-1175)" (2018).

* Chaitanya, Malaviya, et al. "[Neural Factor Graph Models for Cross-lingual Morphological Tagging.](http://www.aclweb.org/anthology/P18-1247)" (2018).

* Denis, Paperno, et al. "[Limitations In Learning An Interpreted Language With Recurrent Models.](http://arxiv.org/pdf/1809.04128.pdf)" arXiv preprint arXiv:1809.04128 (2018).

* Fenia, Christopoulou, et al. "[A Walk-based Model on Entity Graphs for Relation Extraction.](http://www.aclweb.org/anthology/P18-2014)" (2018).

* Javid, Ebrahimi, et al. "[HotFlip: White-Box Adversarial Examples for Text Classification.](http://arxiv.org/pdf/1712.06751.pdf)" arXiv preprint arXiv:1712.06751 (2018).

* Jiangming, Liu, et al. "[Discourse Representation Structure Parsing.](http://www.aclweb.org/anthology/P18-1040)" (2018).

* John, Hale, et al. "[Finding Syntax in Human Encephalography with Beam Search.](http://www.aclweb.org/anthology/P18-1254)" (2018).

* Jon, Gauthier, et al. "[Does The Brain Represent Words? An Evaluation Of Brain Decoding Studies Of Language Understanding.](http://arxiv.org/pdf/1806.00591.pdf)" arXiv preprint arXiv:1806.00591 (2018).

* Junxian, He, et al. "[Unsupervised Learning of Syntactic Structure with Invertible Neural Projections.](http://www.aclweb.org/anthology/D18-1160)" (2018).

* Junyang, Lin, et al. "[Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification.](http://arxiv.org/pdf/1808.08561.pdf)" arXiv preprint arXiv:1808.08561 (2018).

* Lei, Yu, et al. "[Sentence Encoding with Tree-constrained Relation Networks.](http://arxiv.org/pdf/1811.10475.pdf)" arXiv preprint arXiv:1811.10475 (2018).

* Matthew, E., Peters, et al. "[Deep Contextualized Word Representations.](http://www.aclweb.org/anthology/N18-1202)" (2018).

* Matthew, E., Peters, et al. "[Dissecting Contextual Word Embeddings: Architecture and Representation.](http://arxiv.org/pdf/1808.08949.pdf)" arXiv preprint arXiv:1808.08949 (2018).

* Noah, Weber, et al. "[The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models.](http://arxiv.org/pdf/1805.01445.pdf)" arXiv preprint arXiv:1805.01445 (2018).

* Omer, Levy, et al. "[Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum.](https://openreview.net/pdf?id=HJOQ7MgAW)" (2018).

* Pengcheng, Yin, et al. "[StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing.](http://www.aclweb.org/anthology/P18-1070)" (2018).

* Shauli, Ravfogel, et al. "[Can LSTM Learn to Capture Agreement - The Case of Basque.](http://arxiv.org/pdf/1809.04022.pdf)" arXiv preprint arXiv:1809.04022 (2018).

* Urvashi, Khandelwal, et al. "[Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context.](https://arxiv.org/abs/1805.04623)" arXiv preprint arXiv:1805.04623 (2018).

* Vlad, Niculae, et al. "[Towards Dynamic Computation Graphs via Sparse Latent Structure.](http://arxiv.org/pdf/1809.00653.pdf)" arXiv preprint arXiv:1809.00653 (2018).

* Xinyi, Wang, et al. "[A Tree-based Decoder for Neural Machine Translation.](http://arxiv.org/pdf/1808.09374.pdf)" arXiv preprint arXiv:1808.09374 (2018).

* Xinyun, Chen, et al. "[Tree-to-tree Neural Networks for Program Translation.](https://openreview.net/pdf?id=rkxY-sl0W)" (2018).

* Xuezhe, Ma, et al. "[Stack-Pointer Networks for Dependency Parsing.](http://www.aclweb.org/anthology/P18-1130)" (2018).

* Yang, Liu, et al. "[Learning Structured Text Representations.](http://www.aclweb.org/anthology/Q18-1005)" (2018).

* Yanpeng, Zhao, et al. "[Gaussian Mixture Latent Vector Grammars.](http://www.aclweb.org/anthology/P18-1109)" (2018).

* Yibo, Sun, et al. "[Semantic Parsing with Syntax- and Table-Aware SQL Generation.](http://www.aclweb.org/anthology/P18-1034)" (2018).

* Yikang, Shen, et al. "[Neural Language Modeling by Jointly Learning Syntax and Lexicon.](http://arxiv.org/pdf/1711.02013.pdf)" arXiv preprint arXiv:1711.02013 (2018).

* Yikang, Shen, et al. "[Straight to the Tree: Constituency Parsing with Neural Syntactic Distance.](http://www.aclweb.org/anthology/P18-1108)" (2018).

* Yikang, Shen, et al. "[Ordered Neurons Integrating Tree Structures Into Recurrent Neural Networks.](http://arxiv.org/pdf/1810.09536.pdf)" arXiv preprint arXiv:1810.09536 (2018).

* Yuhao, Zhang, et al. "[Graph Convolution over Pruned Dependency Trees.](http://www.aclweb.org/anthology/D18-1244)" (2018).

* Zhengqiu, He, et al. "[SEE: Syntax-aware Entity Embedding for Neural Relation Extraction.](http://arxiv.org/pdf/1801.03603.pdf)" arXiv preprint arXiv:1801.03603 (2018).

* Zhi-Xiu, Ye, et al. "[Hybrid semi-Markov CRF for Neural Sequence Labeling.](http://www.aclweb.org/anthology/P18-2038)" (2018).

###  2017

* Adhiguna, Kuncoro, et al. "[What Do Recurrent Neural Network Grammars Learn About Syntax?.](http://www.aclweb.org/anthology/E17-1117)" (2017).

* Attapol, T., Rutherford, et al. "[A Systematic Study of Neural Discourse Models for Implicit Discourse Relation.](http://www.aclweb.org/anthology/E17-1027)" (2017).

* Nanyun, Peng, et al. "[Cross-Sentence N -ary Relation Extraction with Graph LSTMs.](http://www.aclweb.org/anthology/Q17-1008)" (2017).

* Timothy, Dozat, et al. "[Deep Biaffine Attention for Neural Dependency Parsing.](https://openreview.net/pdf?id=Hk95PK9le)" (2017).

* Yoon, Kim, et al. "[Structured Attention Networks.](https://openreview.net/pdf?id=HkE0Nvqlg)" (2017).

###  2016

* Eliyahu, Kiperwasser, et al. "[Easy First Dependency Parsing with Hierarchical Tree LSTMs.](http://www.aclweb.org/anthology/Q16-1032)" (2016).

* Eliyahu, Kiperwasser, et al. "[Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations.](http://www.aclweb.org/anthology/Q16-1023)" (2016).

* Jiwei, Li, et al. "[Visualizing and Understanding Neural Models in NLP.](http://aclweb.org/anthology/N/N16/N16-1082.pdf)" (2016).

* Samuel, R., Bowman, et al. "[A Fast Unified Model for Parsing and Sentence Understanding.](http://aclweb.org/anthology/P16-1139)" (2016).

* Yangfeng, Ji, et al. "[A Latent Variable Recurrent Neural Network for Discourse Relation Language Models.](http://www.aclweb.org/anthology/N16-1037)" (2016).

###  2015

* Chloé, Braud, et al. "[Comparing Word Representations for Implicit Discourse Relation Classification.](http://www.aclweb.org/anthology/D15-1262)" (2015).

* Jiwei, Li, et al. "[When Are Tree Structures Necessary for Deep Learning of Representations.](http://aclweb.org/anthology/D15-1278)" (2015).

* Kai, Sheng, Tai, et al. "[Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.](https://aclweb.org/anthology/P/P15/P15-1150.pdf)" (2015).

* Yang, Liu, et al. "[A Dependency-Based Neural Network for Relation Classification.](http://aclweb.org/anthology/P/P15/P15-2047.pdf)" (2015).

###  2014

* Richard, Socher "[Recursive Deep Learning for Natural Language Processing and Computer Vision.](https://nlp.stanford.edu/~socherr/thesis.pdf)" (2014).

###  2013

* Richard, Socher , et al. "[Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.](http://www.aclweb.org/anthology/D13-1170)" (2013).

###  2012

* Eric, H., Huang, et al. "[Improving Word Representations via Global Context and Multiple Word Prototypes.](http://www.aclweb.org/anthology/P12-1092)" (2012).

_________________

## Acknowledgement

Appreciate [@Hayao41](https://github.com/Hayao41)'s contribution.