pre-trained language model

Saagie at Semeval-2019 Task 5: From Universal Text Embeddings and Classical Features to Domain-specific Text Classification SemEval 2019 SciBERT: A Pretrained Language Model for Scientific Text EMNLP 2019 Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model ACL 2019 Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network SemEval 2019 Team Howard Beale at SemEval-2019 Task 4: Hyperpartisan News Detection with BERT SemEval 2019 Testing the Generalization Power of Neural Network Models across NLI Benchmarks ACL 2019 Text Summarization with Pretrained Encoders EMNLP 2019 THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers SemEval 2019 To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks ACL 2019 Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks EMNLP 2019 What Does BERT Look at? An Analysis of BERT’s Attention ACL 2019 When Choosing Plausible Alternatives, Clever Hans can be Clever EMNLP 2019 Zero-Shot Entity Linking by Reading Entity Descriptions ACL 2019 Cold Fusion: Training Seq2Seq Models Together with Language Models Interspeech 2018 Contextualized Word Representations for Reading Comprehension NAACL 2018 Deep Contextualized Word Representations NAACL 2018 Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data EMNLP 2018 Improving Abstraction in Text Summarization EMNLP 2018 Neural DrugNet EMNLP 2018 Universal Language Model Fine-tuning for Text Classification ACL 2018