Natural Language Processing

Towards Understanding Neural Machine Translation with Word Importance EMNLP 2019 Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation EMNLP 2019 Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues Interspeech 2019 Towards Universal Semantic Representation ACL 2019 Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings ACL 2019 Towards VQA Models That Can Read CVPR 2019 Towards Zero-resource Cross-lingual Entity Linking EMNLP 2019 Towards Zero-shot Language Modeling EMNLP 2019 Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914 ACL 2019 Training Hybrid Language Models by Marginalizing over Segmentations ACL 2019 Training Neural Machine Translation to Apply Terminology Constraints ACL 2019 Training Neural Response Selection for Task-Oriented Dialogue Systems ACL 2019 Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation EMNLP 2019 Training Temporal Word Embeddings with a Compass AAAI 2019 Train, Sort, Explain: Learning to Diagnose Translation Models NAACL 2019 Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis EMNLP 2019 Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning EMNLP 2019 Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems ACL 2019 Transfer Fine-Tuning: A BERT Case Study EMNLP 2019 Transfer Learning Between Related Tasks Using Expected Label Proportions EMNLP 2019 Transfer Learning for Causal Sentence Detection ACL 2019 Transfer Learning for Health-related Twitter Data ACL 2019 Transfer Learning in Biomedical Named Entity Recognition: An Evaluation of BERT in the PharmaCoNER task EMNLP 2019 Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets ACL 2019 Transfer Learning via Unsupervised Task Discovery for Visual Question Answering CVPR 2019