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Who cites «Investigating the distribution of some (but not all) implicatures using corpora and web-based methods»

14 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation — 2026 · arXiv:2607.25094
  2. Let''s CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition — 2025 · arXiv:2506.06133
  3. SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives — our card · 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  4. Complementizers on edge: On the boundaries between syntax and pragmatics in Ibero-Romance (Language Science Press, Open Romance Linguistics, 2022) — 2022 · monograph
  5. Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  6. Pragmatic and Logical Inferences in NLI Systems: The Case of Conjunction Buttressing — our card · 2022 · Proceedings of the Second Workshop on Understanding Implicit and Underspecified Language
  7. Predicting scalar diversity with context-driven uncertainty over alternatives — 2022 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
  8. Predicting scalar inferences from ``or'' to ``not both'' using neural sentence encoders — our card · 2021 · Proceedings of the Society for Computation in Linguistics 2021
  9. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  10. Harnessing the linguistic signal to predict scalar inferences — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  11. Conversational implicatures in English dialogue: Annotated dataset — our card · 2019 · arXiv:1911.10704
  12. SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature — 2015 · arXiv:1506.02306
  13. azin-2026-do-language-models-know-theo
  14. han-2026-crossing-cross-scale-reasoning-evaluation

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