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Papers
Combining Hybrid and End-to-End Approaches for the OpenASR20 Challenge
Interspeech 2021
Common Sense Bias in Semantic Role Labeling
EMNLP 2021
Competing Independent Modules for Knowledge Integration and Optimization
EMNLP 2021
Constrained Language Models Yield Few-Shot Semantic Parsers
EMNLP 2021
Contextual Density Ratio for Language Model Biasing of Sequence to Sequence ASR Systems
Interspeech 2021
Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion
Interspeech 2021
Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models
EMNLP 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
EMNLP 2021
Counterfactual Data Augmentation for Neural Machine Translation
NAACL 2021
Cross-Lingual Leveled Reading Based on Language-Invariant Features
EMNLP 2021
CrossNER: Evaluating Cross-Domain Named Entity Recognition
AAAI 2021
Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language
EMNLP 2021
CS-BERT: a pretrained model for customer service dialogues
EMNLP 2021
DamascusTeam at NLP4IF2021: Fighting the Arabic COVID-19 Infodemic on Twitter Using AraBERT
NAACL 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible
EMNLP 2021
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks
AAAI 2021
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
NeurIPS 2021
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
ACL 2021
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings
EMNLP 2021
Detoxifying Language Models Risks Marginalizing Minority Voices
NAACL 2021
Developing a Benchmark for Reducing Data Bias in Authorship Attribution
EMNLP 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
ACL 2021
Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI
EMNLP 2021
Dialogue State Tracking with a Language Model using Schema-Driven Prompting
EMNLP 2021
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction
EMNLP 2021