Mark Yatskar
5 papers in the PaperMetrix corpus
Papers by this author
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Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
2018 · arXiv (Cornell University)
We introduce a new benchmark, WinoBias, for coreference resolution focused on gender bias. Our corpus contains Winograd-schema style sentences with entities corresponding to people referred by their occupation (e.g. the nurse, the doctor, the carpenter). …
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QuAC: Question Answering in Context
2018
We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total). The dialogs involve two crowd workers: (1) a student who poses a sequence of freeform …
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Gender Bias in Contextualized Word Embeddings
2019
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and …
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VisualBERT: A Simple and Performant Baseline for Vision and Language
2019 · arXiv (Cornell University)
We propose VisualBERT, a simple and flexible framework for modeling a broad range of vision-and-language tasks. VisualBERT consists of a stack of Transformer layers that implicitly align elements of an input text and regions in …
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Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
2019
Christopher Clark, Mark Yatskar, Luke Zettlemoyer. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.