Resources & Methods

Pretrained Language Model for Text Generation: A Survey IJCAI 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 Priberam Labs at the 3rd Shared Task on SlavNER EACL 2021 Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies ACL 2021 Private Release of Text Embedding Vectors NAACL 2021 Probing Across Time: What Does RoBERTa Know and When? EMNLP 2021 Probing BERT in Hyperbolic Spaces ICLR 2021 Probing for Bridging Inference in Transformer Language Models NAACL 2021 Probing Multilingual Language Models for Discourse ACL 2021 Probing Pre-trained Language Models for Semantic Attributes and their Values EMNLP 2021 Probing Toxic Content in Large Pre-Trained Language Models ACL 2021 Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets NeurIPS 2021 Profiling of Intertextuality in Latin Literature Using Word Embeddings NAACL 2021 ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation ACL 2021 Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution EMNLP 2021 Putting Humans in the Natural Language Processing Loop: A Survey EACL 2021 QuranTree.jl: A Julia Package for Quranic Arabic Corpus EACL 2021 R00 at NLP4IF-2021 Fighting COVID-19 Infodemic with Transformers and More Transformers NAACL 2021 Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning EMNLP 2021 Rakuten’s Participation in WAT 2021: Examining the Effectiveness of Pre-trained Models for Multilingual and Multimodal Machine Translation ACL 2021