Shujian2015 / neural-net-linguistics

Neural Networks from a Linguistic View

2018

• Warstadt, Alex, et al. "Grammatical Analysis of Pretrained Sentence Encoders with Acceptability Judgments." arXiv preprint arXiv: 1901.03438 (2018).
• Dai, Zihang, et al. "Transformer-XL: Language Modeling with Longer-Term Dependency." arXiv preprint arXiv: 1901.02860 (2018).
• Goldberg, Yoav. "Assessing BERT’s Syntactic Abilities." (2018).
• Futrell, Richard, and Roger P. Levy. "Do RNNs learn human-like abstract word order preferences?" arXiv preprint arXiv:1811.01866 (2018).
• Strubell, Emma, et al. "Linguistically-Informed Self-Attention for Semantic Role Labeling." arXiv preprint arXiv:1804.08199 (2018).
• Jacovi, Alon, Oren Sar Shalom, and Yoav Goldberg. "Understanding Convolutional Neural Networks for Text Classification." arXiv preprint arXiv:1809.08037 (2018).
• Tang, Gongbo, et al. "Why Self-attention? A Targeted Evaluation Of Neural Machine Translation Architectures." arXiv preprint arXiv:1808.08946 (2018).
• Adhiguna, Kuncoro, et al. "LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better." (2018).
• Asaf, Amrami, et al. "Word Sense Induction with Neural biLM and Symmetric Patterns." arXiv preprint arXiv:1808.08518 (2018).
• Braden, Hancock, et al. "Training Classifiers with Natural Language Explanations." (2018).
• Chaitanya, Malaviya, et al. "Neural Factor Graph Models for Cross-lingual Morphological Tagging." (2018).
• Denis, Paperno, et al. "Limitations In Learning An Interpreted Language With Recurrent Models." arXiv preprint arXiv:1809.04128 (2018).
• Fenia, Christopoulou, et al. "A Walk-based Model on Entity Graphs for Relation Extraction." (2018).
• Javid, Ebrahimi, et al. "HotFlip: White-Box Adversarial Examples for Text Classification." arXiv preprint arXiv:1712.06751 (2018).
• Jiangming, Liu, et al. "Discourse Representation Structure Parsing." (2018).
• John, Hale, et al. "Finding Syntax in Human Encephalography with Beam Search." (2018).
• Jon, Gauthier, et al. "Does The Brain Represent Words? An Evaluation Of Brain Decoding Studies Of Language Understanding." arXiv preprint arXiv:1806.00591 (2018).
• Junxian, He, et al. "Unsupervised Learning of Syntactic Structure with Invertible Neural Projections." (2018).
• Junyang, Lin, et al. "Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification." arXiv preprint arXiv:1808.08561 (2018).
• Lei, Yu, et al. "Sentence Encoding with Tree-constrained Relation Networks." arXiv preprint arXiv:1811.10475 (2018).
• Matthew, E., Peters, et al. "Deep Contextualized Word Representations." (2018).
• Matthew, E., Peters, et al. "Dissecting Contextual Word Embeddings: Architecture and Representation." arXiv preprint arXiv:1808.08949 (2018).
• Noah, Weber, et al. "The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models." arXiv preprint arXiv:1805.01445 (2018).
• Omer, Levy, et al. "Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum." (2018).
• Pengcheng, Yin, et al. "StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing." (2018).
• Shauli, Ravfogel, et al. "Can LSTM Learn to Capture Agreement - The Case of Basque." arXiv preprint arXiv:1809.04022 (2018).
• Urvashi, Khandelwal, et al. "Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context." arXiv preprint arXiv:1805.04623 (2018).
• Vlad, Niculae, et al. "Towards Dynamic Computation Graphs via Sparse Latent Structure." arXiv preprint arXiv:1809.00653 (2018).
• Xinyi, Wang, et al. "A Tree-based Decoder for Neural Machine Translation." arXiv preprint arXiv:1808.09374 (2018).
• Xinyun, Chen, et al. "Tree-to-tree Neural Networks for Program Translation." (2018).
• Xuezhe, Ma, et al. "Stack-Pointer Networks for Dependency Parsing." (2018).
• Yang, Liu, et al. "Learning Structured Text Representations." (2018).
• Yanpeng, Zhao, et al. "Gaussian Mixture Latent Vector Grammars." (2018).
• Yibo, Sun, et al. "Semantic Parsing with Syntax- and Table-Aware SQL Generation." (2018).
• Yikang, Shen, et al. "Neural Language Modeling by Jointly Learning Syntax and Lexicon." arXiv preprint arXiv:1711.02013 (2018).
• Yikang, Shen, et al. "Straight to the Tree: Constituency Parsing with Neural Syntactic Distance." (2018).
• Yikang, Shen, et al. "Ordered Neurons Integrating Tree Structures Into Recurrent Neural Networks." arXiv preprint arXiv:1810.09536 (2018).
• Yuhao, Zhang, et al. "Graph Convolution over Pruned Dependency Trees." (2018).
• Zhengqiu, He, et al. "SEE: Syntax-aware Entity Embedding for Neural Relation Extraction." arXiv preprint arXiv:1801.03603 (2018).
• Zhi-Xiu, Ye, et al. "Hybrid semi-Markov CRF for Neural Sequence Labeling." (2018).

2017

• Adhiguna, Kuncoro, et al. "What Do Recurrent Neural Network Grammars Learn About Syntax?." (2017).
• Attapol, T., Rutherford, et al. "A Systematic Study of Neural Discourse Models for Implicit Discourse Relation." (2017).
• Nanyun, Peng, et al. "Cross-Sentence N -ary Relation Extraction with Graph LSTMs." (2017).
• Timothy, Dozat, et al. "Deep Biaffine Attention for Neural Dependency Parsing." (2017).
• Yoon, Kim, et al. "Structured Attention Networks." (2017).

2016

• Eliyahu, Kiperwasser, et al. "Easy First Dependency Parsing with Hierarchical Tree LSTMs." (2016).
• Eliyahu, Kiperwasser, et al. "Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations." (2016).
• Jiwei, Li, et al. "Visualizing and Understanding Neural Models in NLP." (2016).
• Samuel, R., Bowman, et al. "A Fast Unified Model for Parsing and Sentence Understanding." (2016).
• Yangfeng, Ji, et al. "A Latent Variable Recurrent Neural Network for Discourse Relation Language Models." (2016).

2015

• Chloé, Braud, et al. "Comparing Word Representations for Implicit Discourse Relation Classification." (2015).
• Jiwei, Li, et al. "When Are Tree Structures Necessary for Deep Learning of Representations." (2015).
• Kai, Sheng, Tai, et al. "Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks." (2015).
• Yang, Liu, et al. "A Dependency-Based Neural Network for Relation Classification." (2015).

2014

• Richard, Socher "Recursive Deep Learning for Natural Language Processing and Computer Vision." (2014).

2013

• Richard, Socher , et al. "Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank." (2013).

2012

• Eric, H., Huang, et al. "Improving Word Representations via Global Context and Multiple Word Prototypes." (2012).

Acknowledgement

Appreciate @Hayao41's contribution.