 Implications of Annotation Artifacts in Edge Probing Test DatasetsConference on Computational Natural Language Learning (CoNLL), 2023 |
 On Event Individuation for Document-Level Information ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Automatic Document Selection for Efficient Encoder PretrainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Pretraining Text Encoders with Adversarial Mixture of Training Signal
GeneratorsInternational Conference on Learning Representations (ICLR), 2022 |
 Decomposing and Recomposing Event StructureTransactions of the Association for Computational Linguistics (TACL), 2021 |
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 Intermediate-Task Transfer Learning with Pretrained Models for Natural
Language Understanding: When and Why Does It Work?Annual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Causal Inference of Script KnowledgeConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
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 Universal Decompositional Semantic ParsingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 What do you learn from context? Probing for sentence structure in
contextualized word representationsInternational Conference on Learning Representations (ICLR), 2019 |
