Ryan Cotterell
11 papers in the PaperMetrix corpus
Papers by this author
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Joint Semantic Synthesis and Morphological Analysis of the Derived Word
2018 · Transactions of the Association for Computational Linguistics
Much like sentences are composed of words, words themselves are composed of smaller units. For example, the English word questionably can be analyzed as question+ able+ ly. However, this structural decomposition of the word does …
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Examining Gender Bias in Languages with Grammatical Gender
2019 · arXiv (Cornell University)
Recent studies have shown that word embeddings exhibit gender bias inherited from the training corpora. However, most studies to date have focused on quantifying and mitigating such bias only in English. These analyses cannot be …
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Information-Theoretic Probing for Linguistic Structure
2020
The success of neural networks on a diverse set of NLP tasks has led researchers to question how much these networks actually "know" about natural language. Probes are a natural way of assessing this. When …
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Searching for Search Errors in Neural Morphological Inflection
2021
Neural sequence-to-sequence models are currently the predominant choice for language generation tasks. Yet, on word-level tasks, exact inference of these models reveals the empty string is often the global optimum. Prior works have speculated this …
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BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation
2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational …
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A Bilingual Parallel Corpus with Discourse Annotations
2022 · arXiv (Cornell University)
Machine translation (MT) has almost achieved human parity at sentence-level translation. In response, the MT community has, in part, shifted its focus to document-level translation. However, the development of document-level MT systems is hampered by …
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Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus
2023 · arXiv (Cornell University)
Several recent papers claim human parity at sentence-level Machine Translation (MT), especially in high-resource languages. Thus, in response, the MT community has, in part, shifted its focus to document-level translation. Translating documents requires a deeper …
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Naturalistic Causal Probing for Morpho-Syntax
2023 · Transactions of the Association for Computational Linguistics
Abstract Probing has become a go-to methodology for interpreting and analyzing deep neural models in natural language processing. However, there is still a lack of understanding of the limitations and weaknesses of various types of …
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The Architectural Bottleneck Principle
2022
In this paper, we seek to measure how much information a component in a neural network could extract from the representations fed into it. Our work stands in contrast to prior probing work, most of …
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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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Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
2019
Gender stereotypes are manifest in most of the world's languages and are consequently propagated or amplified by NLP systems. Although research has focused on mitigating gender stereotypes in English, the approaches that are commonly employed …