transformer language model

CoCon: A Self-Supervised Approach for Controlled Text Generation ICLR 2021 CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking Patterns NAACL 2021 Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification EACL 2021 DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations ACL 2021 Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge ACL 2021 Disambiguating Symbolic Expressions in Informal Documents ICLR 2021 Emotion Classification in German Plays with Transformer-based Language Models Pretrained on Historical and Contemporary Language EMNLP 2021 How is BERT surprised? Layerwise detection of linguistic anomalies ACL 2021 Hyperparameter Power Impact in Transformer Language Model Training EMNLP 2021 IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection SemEval 2021 Improved Named Entity Recognition for Noisy Call Center Transcripts EMNLP 2021 IndT5: A Text-to-Text Transformer for 10 Indigenous Languages NAACL 2021 KnowMAN: Weakly Supervised Multinomial Adversarial Networks EMNLP 2021 Modeling Event Plausibility with Consistent Conceptual Abstraction NAACL 2021 NLP for Consumer Protection: Battling Illegal Clauses in German Terms and Conditions in Online Shopping ACL 2021 NVIDIA NeMo’s Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21 EMNLP 2021 On the Role of Corpus Ordering in Language Modeling EMNLP 2021 Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies ACL 2021 Reconsidering the Past: Optimizing Hidden States in Language Models EMNLP 2021 RuSentEval: Linguistic Source, Encoder Force! EACL 2021 Sentence Bottleneck Autoencoders from Transformer Language Models EMNLP 2021 Shuffled-token Detection for Refining Pre-trained RoBERTa NAACL 2021 Structural Guidance for Transformer Language Models ACL 2021 Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications NAACL 2021 Using Gender- and Polarity-Informed Models to Investigate Bias ACL 2021