uva-advanced-nlp

Reading List

1. Word Embeddings

Yin and Shen On the Dimensionality of Word Embedding. NeurIPS 2018
Athiwaratkun et al. Probabilistic FastText for Multi-Sense Word Embeddings. ACL 2018
Peters et al. Deep Contextualized Word Representations. NAACL 2018
Peters et al. Dissecting Contextual Word Embeddings: Architecture and Representation. EMNLP 2018
Devlin et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. 2018
Wendlandt et al. Factors Influencing the Surprising Instability of Word Embeddings. NAACL 2018

2. Text Representation

Conneau et al. What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties. ACL 2018
Narayan et al. Document Modeling with External Attention for Sentence Extraction. ACL 2018
Poliak et al. Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. EMNLP 2018
Duan et al. Learning Sentence Representations over Tree Structures for Target-Dependent Classification. NAACL 2018

3. Question Answering

Min et al. Efficient and Robust Question Answering from Minimal Context over Documents. ACL 2018
Yang et al. HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. EMNLP 2018
Sugawara et al. What Makes Reading Comprehension Questions Easier. EMNLP 2018
Kaushik and Lipton How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks. EMNLP 2018
Sachan and Xing Self-Training for Jointly Learning to Ask and Answer Questions. NAACL 2018

Gao et al. What Action Causes This? Towards Naive Physical Action-Effect Prediction. ACL 2018
Mihaylov and Frank Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge. ACL 2018
Bauer et al. Commonsense for Generative Multi-Hop Question Answering Tasks. EMNLP 2018
Tandon et al. Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. EMNLP 2018

5. Machine Translation

Artetxe et al. Unsupervised Neural Machine Translation. ICLR 2018
Prabhumoye et al. Stype Transfer Through Back-Translation. ACL 2018
Schulz et al. A Stochastic Decoder for Neural Machine Translation. ACL 2018
Miculicich et al. Document-Level Neural Machine Translation with Hierarchical Attention Networks. EMNLP 2018
Grangier and Auli QuickEdit: Editing Text & Translations by Crossing Words Out. NAACL 2018

6. Document Summarization

Chen and Bansal Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. ACL 2018
Kedzie et al. Content Selection in Deep Learning Models of Summarization. EMNLP 2018
Dong et al. BanditSum: Extractive Summarization as a Contextual Bandit. EMNLP 2018
Amplayo et al. Entity Commonsense Representation for Neural Abstractive Summarization. NAACL 2018

7. Conversational Modeling

Zhang et al. Learning to Control the Specificity in Neural Response Generation. ACL 2018
Li and Sun A Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation Generation. EMNLP 2018
Liu et al. Knowledge Diffusion for Neural Dialogue Generation. ACL 2018
Parthasarathi and Pineau Extending Neural Generative Conversational Model using External Knowledge Sources. EMNLP 2018
Park et al. A Hierarchical Latent Structure for Variational Conversation Modeling. NAACL 2018
Zeng et al. Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse. NAACL 2018

8. Text Generation

Logeswaran et al. Content preserving text generation with attribute controls. NeurIPS 2018
Nie et al. Operation-guided Neural Networks for High Fidelity Data-To-Text Generation. EMNLP 2018
Xu et al. A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation. EMNLP 2018
Fan et al. Hierarchical Neural Story Generation. ACL 2018
Ma et al. Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation. NAACL 2018
Clark et al. Neural Text Generation in Stories Using Entity Representations as Context. NAACL 2018

9. Explainable Models

Son et al. Causal Explanation Analysis on Social Media. EMNLP 2018
Singh et al. Hierarchical interpretations for neural network predictions. ICLR 2019
Chen et al. L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data. ICLR 2019
Plumb et al. Model Agnostic Supervised Local Explanations. NeurIPS 2018

10. GANs and Adversarial Learning

Subramanian et al. Towards Text Generation with Adversarially Learned Neural Outlines. NeurIPS 2018
Glockner et al. Breaking NLI Systems with Sentences that Require Simple Lexical Inferences. ACL 2018
Alzantot et al. Generating Natural Language Adversarial Examples. EMNLP 2018