 Pre-training Is (Almost) All You Need: An Application to Commonsense
ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Recipes for building an open-domain chatbotConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020 |
 The Gutenberg Dialogue DatasetConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020 |
 Grounding Conversations with Improvised DialoguesAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Reverse Engineering Configurations of Neural Text Generation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Unsupervised Commonsense Question Answering with Self-TalkConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Designing Precise and Robust Dialogue Response EvaluatorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Asking and Answering Questions to Evaluate the Factual Consistency of
SummariesAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Generating Counter Narratives against Online Hate Speech: Data and
StrategiesAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn
Knowledge-driven ConversationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 TextGAIL: Generative Adversarial Imitation Learning for Text GenerationAAAI Conference on Artificial Intelligence (AAAI), 2020 |
 "You are grounded!": Latent Name Artifacts in Pre-trained Language
ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Evaluating the Evaluation of Diversity in Natural Language GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020 |
 Sparse Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 An Analysis of the Utility of Explicit Negative Examples to Improve the
Syntactic Abilities of Neural Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Heavy-tailed Representations, Text Polarity Classification & Data
AugmentationNeural Information Processing Systems (NeurIPS), 2020 |
 Efficient Content-Based Sparse Attention with Routing TransformersTransactions of the Association for Computational Linguistics (TACL), 2020 |
 EmpTransfo: A Multi-head Transformer Architecture for Creating
Empathetic Dialog SystemsThe Florida AI Research Society (FLAIRS), 2020 |
 PolyGen: An Autoregressive Generative Model of 3D MeshesInternational Conference on Machine Learning (ICML), 2020 |
 Incremental Sampling Without Replacement for Sequence ModelsInternational Conference on Machine Learning (ICML), 2020 |
 Limits of Detecting Text Generated by Large-Scale Language ModelsInformation Theory and Applications Workshop (ITA), 2020 |
 Blank Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Consistency of a Recurrent Language Model With Respect to Incomplete
DecodingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Variational Template Machine for Data-to-Text GenerationInternational Conference on Learning Representations (ICLR), 2020 |
 Explaining Relationships Between Scientific DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Asking Questions the Human Way: Scalable Question-Answer Generation from
Text CorpusThe Web Conference (WWW), 2020 |
 A Knowledge-Enhanced Pretraining Model for Commonsense Story GenerationTransactions of the Association for Computational Linguistics (TACL), 2020 |
