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Quantifiers satisfying semantic universals are simpler
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Language Models Use Monotonicity to Assess NPI Licensing ...
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‘Most’ vs ‘More Than Half’: An Alternatives Explanation
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Complexity/informativeness trade-off in the domain of indefinite pronouns
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In: Semantics and Linguistic Theory; Proceedings of SALT 30; 166-184 ; 2163-5951 (2021)
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Most, but not more than half, is proportion-dependent and sensitive to individual differences ...
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Most, but not more than half, is proportion-dependent and sensitive to individual differences
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In: Sinn und Bedeutung; Bd. 24 Nr. 2 (2020): Proceedings of Sinn und Bedeutung 24; 165-182 ; Proceedings of Sinn und Bedeutung; Vol 24 No 2 (2020): Proceedings of Sinn und Bedeutung 24; 165-182 ; 2629-6055 (2020)
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Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers ...
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Abstract:
We study the role of linguistic context in predicting quantifiers (`few', `all'). We collect crowdsourced data from human participants and test various models in a local (single-sentence) and a global context (multi-sentence) condition. Models significantly out-perform humans in the former setting and are only slightly better in the latter. While human performance improves with more linguistic context (especially on proportional quantifiers), model performance suffers. Models are very effective in exploiting lexical and morpho-syntactic patterns; humans are better at genuinely understanding the meaning of the (global) context. ... : ACL 2018 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1806.00354 https://dx.doi.org/10.48550/arxiv.1806.00354
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Intentional Communication: Computationally Easy or Difficult?
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