Stuart M. Shieber
5 papers in the PaperMetrix corpus
Papers by this author
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On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference
2019
Popular Natural Language Inference (NLI) datasets have been shown to be tainted by hypothesis-only biases. Adversarial learning may help models ignore sensitive biases and spurious correlations in data. We evaluate whether adversarial learning can be …
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Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models
2021
Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart Shieber, Tal Linzen, Yonatan Belinkov. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume …
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Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution
2015
Sam Wiseman, Alexander M. Rush, Stuart Shieber, Jason Weston. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). …
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Challenges in Data-to-Document Generation
2017
Recent neural models have shown significant progress on the problem of generating short descriptive texts conditioned on a small number of database records. In this work, we suggest a slightly more difficult data-to-text generation task, …
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Learning Global Features for Coreference Resolution
2016
There is compelling evidence that coreference prediction would benefit from modeling global information about entity-clusters. Yet, state-of-the-art performance can be achieved with systems treating each mention prediction independently, which we attribute to the inherent difficulty …