Natural Language Processing

Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications NAACL 2021 Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting NAACL 2021 Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence ACL 2021 Pre-training Methods for Neural Machine Translation ACL 2021 Pre-training Text-to-Text Transformers for Concept-centric Common Sense ICLR 2021 Pre-training Universal Language Representation ACL 2021 Pre-training with Meta Learning for Chinese Word Segmentation NAACL 2021 Pre-train or Annotate? Domain Adaptation with a Constrained Budget EMNLP 2021 Prevent the Language Model from being Overconfident in Neural Machine Translation ACL 2021 PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction ACL 2021 Priberam Labs at the 3rd Shared Task on SlavNER EACL 2021 PRIDE: Predicting Relationships in Conversations EMNLP 2021 Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies ACL 2021 Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning EMNLP 2021 Private Release of Text Embedding Vectors NAACL 2021 Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments ACL 2021 Probing Across Time: What Does RoBERTa Know and When? EMNLP 2021 Probing BERT in Hyperbolic Spaces ICLR 2021 Probing Commonsense Explanation in Dialogue Response Generation EMNLP 2021 Probing for Bridging Inference in Transformer Language Models NAACL 2021 Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents EACL 2021 Probing Language Models for Understanding of Temporal Expressions EMNLP 2021 Probing Multilingual Language Models for Discourse ACL 2021 Probing Pre-trained Language Models for Semantic Attributes and their Values EMNLP 2021 Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? EACL 2021