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Natural Language Processing

2,158 papers

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Papers

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training EMNLP 2020
Towards More Accurate Uncertainty Estimation In Text Classification EMNLP 2020
Deconstructing word embedding algorithms EMNLP 2020
Sequential Modelling of the Evolution of Word Representations for Semantic Change Detection EMNLP 2020
Exploring Semantic Capacity of Terms EMNLP 2020
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks EMNLP 2020
Revealing the Myth of Higher-Order Inference in Coreference Resolution EMNLP 2020
Exploring Contextualized Neural Language Models for Temporal Dependency Parsing EMNLP 2020
What Can We Learn from Collective Human Opinions on Natural Language Inference Data? EMNLP 2020
HUMAN: Hierarchical Universal Modular ANnotator EMNLP 2020
NeuSpell: A Neural Spelling Correction Toolkit EMNLP 2020
Langsmith: An Interactive Academic Text Revision System EMNLP 2020
An Attentive Recurrent Model for Incremental Prediction of Sentence-final Verbs EMNLP 2020
Robustness to Modification with Shared Words in Paraphrase Identification EMNLP 2020
Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP EMNLP 2020
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction EMNLP 2020
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction EMNLP 2020
Contextual Modulation for Relation-Level Metaphor Identification EMNLP 2020
Context-aware Stand-alone Neural Spelling Correction EMNLP 2020
LiMiT: The Literal Motion in Text Dataset EMNLP 2020
Transition-based Parsing with Stack-Transformers EMNLP 2020
Generative Data Augmentation for Commonsense Reasoning EMNLP 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision EMNLP 2020
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA EMNLP 2020
Pseudo-Bidirectional Decoding for Local Sequence Transduction EMNLP 2020