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In natural language understanding (NLU) production systems, users' evolving needs necessitate the addition of new features over time, indexed by new symbols added to the meaning representation space.
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Language to logical form with neural attention
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Data recombination for neural semantic parsing
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Towards comparability of linguistic graph Banks for semantic parsing
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Deep biaffine attention for neural dependency parsing
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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The universal decompositional semantics dataset and decomp toolkit
Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, and Benjamin Van Durme. 2020 · 2020
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Just train twice: Improving group robustness without training group information
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Broad-coverage semantic parsing as transduction
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Value-agnostic conversational semantic parsing
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Total number of Amazon Alexa skills in selected countries as of January 2021
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Benchclamp: A benchmark for evaluating language models on semantic parsing
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