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Papers (including subtopics)

Constructing a Psychometric Testbed for Fair Natural Language Processing EMNLP 2021 Constructing contrastive samples via summarization for text classification with limited annotations EMNLP 2021 Context-aware Decoder for Neural Machine Translation using a Target-side Document-Level Language Model NAACL 2021 Context-Aware Interaction Network for Question Matching EMNLP 2021 Context-aware Neural Machine Translation with Mini-batch Embedding EACL 2021 Context-aware query design combines knowledge and data for efficient reading and reasoning NAACL 2021 Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis AAAI 2021 Context-Interactive Pre-Training for Document Machine Translation NAACL 2021 Contextual Domain Classification with Temporal Representations NAACL 2021 Contextualized Query Embeddings for Conversational Search EMNLP 2021 Contextual Rephrase Detection for Reducing Friction in Dialogue Systems EMNLP 2021 Continual Few-Shot Learning for Text Classification EMNLP 2021 Continual Learning for Neural Machine Translation NAACL 2021 Continual Learning for Text Classification with Information Disentanglement Based Regularization NAACL 2021 Continual Learning in Multilingual NMT via Language-Specific Embeddings EMNLP 2021 Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021 Continuous Entailment Patterns for Lexical Inference in Context EMNLP 2021 Continuous Learning in Neural Machine Translation using Bilingual Dictionaries EACL 2021 Continuous Self-Attention Models with Neural ODE Networks AAAI 2021 Contrapositive Local Class Inference EMNLP 2021 Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification EMNLP 2021 Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias EMNLP 2021 Contrastive Domain Adaptation for Question Answering using Limited Text Corpora EMNLP 2021 Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information EMNLP 2021 Contrastive Learning for Many-to-many Multilingual Neural Machine Translation ACL 2021