Jeffrey Flanigan
4 papers in the PaperMetrix corpus
Papers by this author
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Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers
2022
Previous studies have shown that the Abstract Meaning Representation (AMR) can improve Neural Machine Translation (NMT). However, there has been little work investigating incorporating AMR graphs into Transformer models. In this work, we propose a …
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Does the “most sinfully decadent cake ever” taste good? Answering Yes/No Questions from Figurative Contexts
2023
Figurative language is commonplace in natural language, and while making communication memorable and creative, can be difficult to understand.In this work, we investigate the robustness of Question Answering (QA) models on figurative text.Yes/no questions, in …
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Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
2018 · Figshare
We address the problem of part-of-speech tagging for English data from the popular microblogging service Twitter. We develop a tagset, annotate data, develop features, and report tagging results nearing 90% accuracy. The data and tools …
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Generation from Abstract Meaning Representation using Tree Transducers
2016
Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime Carbonell. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2016.