Natural Language Processing

Effective Convolutional Attention Network for Multi-label Clinical Document Classification EMNLP 2021 Effective Fine-Tuning Methods for Cross-lingual Adaptation EMNLP 2021 Effectively Leveraging BERT for Legal Document Classification EMNLP 2021 Effective Sequence-to-Sequence Dialogue State Tracking EMNLP 2021 Effective Slot Filling via Weakly-Supervised Dual-Model Learning AAAI 2021 Effective Use of Graph Convolution Network and Contextual Sub-Tree for Commodity News Event Extraction EMNLP 2021 Effect of Visual Extensions on Natural Language Understanding in Vision-and-Language Models EMNLP 2021 Efficient Attentions for Long Document Summarization NAACL 2021 EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation EMNLP 2021 Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning EMNLP 2021 Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy EMNLP 2021 Efficient Domain Adaptation of Language Models via Adaptive Tokenization EMNLP 2021 Efficient Explanations from Empirical Explainers EMNLP 2021 Efficient Inference for Multilingual Neural Machine Translation EMNLP 2021 Efficient Machine Translation with Model Pruning and Quantization EMNLP 2021 Efficient Nearest Neighbor Language Models EMNLP 2021 Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding AAAI 2021 Efficient Passage Retrieval with Hashing for Open-domain Question Answering ACL 2021 Efficient Sampling of Dependency Structure EMNLP 2021 Efficient Test Time Adapter Ensembling for Low-resource Language Varieties EMNLP 2021 Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives EACL 2021 Elastic weight consolidation for better bias inoculation EACL 2021 EL-Attention: Memory Efficient Lossless Attention for Generation ICML 2021 Element Intervention for Open Relation Extraction ACL 2021 Eliciting Bias in Question Answering Models through Ambiguity EMNLP 2021