最近NAACL-2019接收列表出了,列出感興趣的paper,供之後閱讀:
名稱 | 類型 | 關鍵字 | 閱讀價值 | 筆記 |
---|---|---|---|---|
Deep Adversarial Learning for NLP | tutorial | |||
Transfer Learning in Natural Language Processing | tutorial | |||
Deep Learning for Natural Language Inference | tutorial | |||
A Large-Scale Comparison of Historical Text Normalization Systems | 比較總結 | |||
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC | 數據集 | |||
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks | 摘要 | |||
Abusive Language Detection with Graph Convolutional Networks | GNN | |||
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction | 生成、強化學習 | |||
Adaptive Convolution for Text Classification | 分類 | |||
Adversarial Training for Weakly Supervised Event Detection | 清華、對抗 | |||
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models | 預訓練 | |||
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction | 生成 | |||
Attention is not Explanation | attention | |||
Detecting Cybersecurity Events from Noisy Short Text | 實際問題 | |||
Detection of Abusive Language: the Problem of Biased Datasets | 數據集 | |||
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion | discourse | |||
Combining Discourse Markers and Cross-lingual Embeddings for Synonym–Antonym Classification | discourse marker | |||
A corpus of text-image discourse relations | discourse | |||
Learning Hierarchical Discourse-level Structure for Fake News Detection | discourse、fake news | |||
Mining Discourse Markers for Unsupervised Sentence Representation Learning | discourse marker | |||
Document-Level Event Factuality Identification via Adversarial Neural Network | 事件真實性、ANN | |||
Does My Rebuttal Matter? Insights from a Major NLP Conference | REBUTTAL、MAJOR? | |||
Early Rumour Detection | rumor detection | |||
Evaluating Style Transfer for Text | style transfer、evaluation | |||
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation | back-translation | |||
Fake News Detection using Deep Markov Random Fields | fake news detection | |||
Generalizing Unmasking for Short Texts | unmasking? | |||
Harry Potter and the Action Prediction Challenge from Natural Language | Harry Potter? | |||
How Large A Vocabulary Does Text Classification Need? A Variational Approach on Vocabulary Selection | 分類 | |||
Incorporating Emoji Descriptions Improves Tweet Classification | 分類、tweet | |||
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification | 分類、zero-shot | |||
Keyphrase Generation: A Text Summarization Struggle | 生成 | |||
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation | 生成 | |||
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks | KG、GNN | |||
Modeling Recurrence for Transformer | Transformer | |||
Neural Text Generation from Rich Semantic Representations | 生成 | |||
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning | RL、Graph | |||
Positional Encoding to Control Output Sequence Length | 雜 | |||
Pragmatically Informative Text Generation | 生成 | |||
Pre-trained language model representations for language generation | 預訓練語言模型、生成 | |||
Predicting the Type and Target of Offensive Posts in Social Media | offensive | |||
Ranking-Based AutoEncoder for Extreme Multi-label Classification | AE、multi-label | |||
Recursive Routing Networks: Learning to Compose Modules for Language Understanding | recursive、understanding | |||
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus | style transfer、RL | |||
Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN | 關係分類 | |||
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations | style | |||
Separating Planning from Realization in Neural Data to Text Generation | 生成 | |||
Star-Transformer | Transformer | |||
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation | 數據增強 | |||
Targeted Aspect-Based Sentiment Analysis as a Sentence Pair Classification Task: Constructing the Other Sentence | sentence pair、生成 | |||
Text Generation from Knowledge Graphs | 生成、KG | |||
Topic-Guided Variational Auto-Encoder for Text Generation | 生成、VAE | |||
Towards Content Transfer through Grounded Text Generation | 生成、transfer | |||
Training data augmentation for context-sensitive neural lemmatizer using inflection tables and raw text | 數據增強 | |||
Tweet Stance Detection Using an Attention based Neural Ensemble Model | stance detection | |||
Unifying Human and Statistical Evaluation for Natural Language Generation | 生成、evaluation | |||
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders | AE、recursive |
TO BE CONTINUED…