---
title: "Who cites SQUINKY! A Corpus of — 21 citing papers"
description: "21 papers of the Elamur Research library cite «SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/lahiri-2015-squinky-corpus-sentence-level-formality/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/lahiri-2015-squinky-corpus-sentence-level-formality/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [SQUINKY! A Corpus of Sentence-level Formality…](https://md.research.elamur.ai/free/en/papers/lahiri-2015-squinky-corpus-sentence-level-formality/) / cited by

# Who cites «SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature»

21 papers of our library cite it (of the 141,840 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature»](https://md.research.elamur.ai/free/en/papers/lahiri-2015-squinky-corpus-sentence-level-formality/)

1. [**Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions**John Chung, Ece Kamar, Saleema Amershi*2023 · 141 citations*](https://md.research.elamur.ai/free/en/papers/chung-2023-increasing-diversity-while-maintaining-accuracy/)
2. [**PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities**Settaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.*2024 · 75 citations*](https://md.research.elamur.ai/free/en/papers/sravanthi-2024-pub-pragmatics-understanding-benchmark-assessing/)
3. [**Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer**Eleftheria Briakou, Sweta Agrawal, Joel Tetreault, et al.*2021 · 49 citations*](https://md.research.elamur.ai/free/en/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/)
4. [**Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email**Niyati Chhaya, Kushal Chawla, Tanya Goyal, et al.*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/chhaya-2018-frustrated-polite-or-formal-quantifying/)
5. [**TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages**Anirudh Srinivasan, Eunsol Choi*2022 · 29 citations*](https://md.research.elamur.ai/free/en/papers/srinivasan-2022-tydip-dataset-politeness-classification-nine/)
6. [**Conversational implicatures in English dialogue: Annotated dataset**Elizabeth Jasmi George, Radhika Mamidi*2019 · 29 citations*](https://md.research.elamur.ai/free/en/papers/george-2019-conversational-implicatures-english-dialogue-annotated/)
7. [**A Pragmatics-Centered Evaluation Framework for Natural Language Understanding**Damien Sileo, Philippe Muller, Tim Van de Cruys, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/sileo-2022-pragmatics-centered-evaluation-framework-natural/)
8. [**Acquiring a Formality-Informed Lexical Resource for Style Analysis**Elisabeth Eder, Ulrike Krieg-Holz, Udo Hahn*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/eder-2021-acquiring-formality-informed-lexical-resource/)
9. [**Predicting pragmatic discourse features in the language of adults with autism spectrum disorder**Christine Yang, Duanchen Liu, Qingyun Yang, et al.*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/yang-2021-predicting-pragmatic-discourse-features-language/)

12 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/lahiri-2015-squinky-corpus-sentence-level-formality/) — SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature
