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Evaluating grounded neural language model performance with respect to pragmatic qualities like the trade off between truthfulness, contrastivity and overinformativity of generated utterances remains a challenge in absence of data collected from humans.
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Reuben Cohn-Gordon, Noah Goodman, and Christopher Potts. 2018 · 2018
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Hyunjik Kim and Andriy Mnih. 2018 · 2018
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Sheng Shen, Daniel Fried, Jacob Andreas, and Dan Klein. 2019 · 2019
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When redundancy is useful: A Bayesian approach to “overinformative” referring expressions
Judith Degen, Robert D Hawkins, Caroline Graf, Elisa Kreiss, and Noah D Goodman. 2020 · 2020
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Multi-agent communication meets natural language: Synergies between functional and structural language learning
Angeliki Lazaridou, Anna Potapenko, and Olivier Tieleman. 2020 · 2020
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Subjectivity predicts adjective ordering preferences
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Decoding, fast and slow: A case study on balancing trade-offs in incremental, character-level pragmatic reasoning
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