 InfoBERT: Improving Robustness of Language Models from An Information
Theoretic PerspectiveInternational Conference on Learning Representations (ICLR), 2020 |
 GenAug: Data Augmentation for Finetuning Text GeneratorsWorkshop on Knowledge Extraction and Integration for Deep Learning Architectures; Deep Learning Inside Out (DEELIO), 2020 |
 Towards Debiasing NLU Models from Unknown BiasesConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based
Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 On Learning Universal Representations Across LanguagesInternational Conference on Learning Representations (ICLR), 2020 |
 What's in a Name? Are BERT Named Entity Representations just as Good for
any other Name?Workshop on Representation Learning for NLP (RepL4NLP), 2020 |
 An Empirical Study on Robustness to Spurious Correlations using
Pre-trained Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2020 |
 Neural Unsupervised Domain Adaptation in NLP---A SurveyInternational Conference on Computational Linguistics (COLING), 2020 |
 Pointwise Paraphrase Appraisal is Potentially ProblematicAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 XCOPA: A Multilingual Dataset for Causal Commonsense ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Mind the Trade-off: Debiasing NLU Models without Degrading the
In-distribution PerformanceAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Revisiting Round-Trip Translation for Quality EstimationEuropean Association for Machine Translation Conferences/Workshops (EAMT), 2020 |
 Style-transfer and Paraphrase: Looking for a Sensible Semantic
Similarity MetricAAAI Conference on Artificial Intelligence (AAAI), 2020 |
 Automated Utterance GenerationAAAI Conference on Artificial Intelligence (AAAI), 2020 |
 XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training,
Understanding and GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating
Cross-lingual GeneralizationInternational Conference on Machine Learning (ICML), 2020 |
 FlauBERT: Unsupervised Language Model Pre-training for FrenchInternational Conference on Language Resources and Evaluation (LREC), 2019 |
 Evaluating the Factual Consistency of Abstractive Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 On the Cross-lingual Transferability of Monolingual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Essentia: Mining Domain-Specific Paraphrases with Word-Alignment GraphsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Automatic Fact-guided Sentence ModificationAAAI Conference on Artificial Intelligence (AAAI), 2019 |
 PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase
IdentificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Unlearn Dataset Bias in Natural Language Inference by Fitting the
ResidualConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 SuperGLUE: A Stickier Benchmark for General-Purpose Language
Understanding SystemsNeural Information Processing Systems (NeurIPS), 2019 |
