---
title: "Who cites Investigating the distribution of some (but not…"
description: "The papers of the Elamur Research library that cite «Investigating the distribution of some (but not all) implicatures using corpora and web-based…"
canonical: "https://research.elamur.ai/free/en/papers/degen-2015-investigating-distribution-some-but-not/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/degen-2015-investigating-distribution-some-but-not/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Investigating the distribution of some…](https://md.research.elamur.ai/free/en/papers/degen-2015-investigating-distribution-some-but-not/) / cited by

# 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](https://md.research.elamur.ai/free/en/papers/degen-2015-investigating-distribution-some-but-not/)

1. [CrosSing: Cross-Scale Reasoning Evaluation on LLMs against Humans](https://aclanthology.org/2026.scil-main.36/) *— 2026 · Proceedings of the Society for Computation in Linguistics 2026*
2. [Do Language Models Know Theo Has a Wife? Investigating the Proviso Problem](https://aclanthology.org/2026.lrec-1.155/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation](https://arxiv.org/abs/2607.25094) *— 2026 · arXiv:2607.25094*
4. [Let”s CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition](https://arxiv.org/abs/2506.06133) *— 2025 · arXiv:2506.06133*
5. [SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives](https://md.research.elamur.ai/free/en/papers/nizamani-2024-siga-naturalistic-nli-dataset-english/) *— our card · 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
6. [Complementizers on edge: On the boundaries between syntax and pragmatics in Ibero-Romance (Language Science Press, Open Romance Linguistics, 2022)](https://zenodo.org/records/6907848) *— 2022 · monograph*
7. [Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences](https://aclanthology.org/2022.coling-1.65/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
8. [Pragmatic and Logical Inferences in NLI Systems: The Case of Conjunction Buttressing](https://md.research.elamur.ai/free/en/papers/pedinotti-2022-pragmatic-logical-inferences-nli-systems/) *— our card · 2022 · Proceedings of the Second Workshop on Understanding Implicit and Underspecified Language*
9. [Predicting scalar diversity with context-driven uncertainty over alternatives](https://aclanthology.org/2022.cmcl-1.8/) *— 2022 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics*
10. [Predicting scalar inferences from “or” to “not both” using neural sentence encoders](https://md.research.elamur.ai/free/en/papers/li-2021-predicting-scalar-inferences-or-not/) *— our card · 2021 · Proceedings of the Society for Computation in Linguistics 2021*
11. [Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition](https://md.research.elamur.ai/free/en/papers/jeretic-2020-are-natural-language-inference-models/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
12. [Harnessing the linguistic signal to predict scalar inferences](https://md.research.elamur.ai/free/en/papers/schuster-2020-harnessing-linguistic-signal-predict-scalar/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
13. [Conversational implicatures in English dialogue: Annotated dataset](https://md.research.elamur.ai/free/en/papers/george-2019-conversational-implicatures-english-dialogue-annotated/) *— our card · 2019 · arXiv:1911.10704*
14. [SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature](https://arxiv.org/abs/1506.02306) *— 2015 · arXiv:1506.02306*
