---
title: "Who cites \"I'll be there for you\": The One with…"
description: "The papers of the Elamur Research library that cite «\"I'll be there for you\": The One with Understanding Indirect Answers», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/damgaard-2021-i-ll-be-there-you/cited-by/"
---
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# Who cites «"I'll be there for you": The One with Understanding Indirect Answers»

8 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/damgaard-2021-i-ll-be-there-you/)

1. [Developing Classifiers for Affirmative and Negative User Responses with Limited Target Domain Data for Dialogue System Development Tools](https://aclanthology.org/2025.iwsds-1.33/) *— 2025 · Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology*
2. [Entailed Between the Lines: Incorporating Implication into NLI](https://aclanthology.org/2025.acl-long.1552/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [IndirectQA: Understanding Indirect Answers to Implicit Polar Questions in French and Spanish](https://aclanthology.org/2024.lrec-main.791/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
4. [Interpreting Answers to Yes-No Questions in User-Generated Content](https://aclanthology.org/2023.findings-emnlp.942/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
5. [Interpreting Indirect Answers to Yes-No Questions in Multiple Languages](https://aclanthology.org/2023.findings-emnlp.146/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
6. [Resolving Indirect Referring Expressions for Entity Selection](https://aclanthology.org/2023.acl-long.688/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [You Are What You Annotate: Towards Better Models through Annotator Representations](https://aclanthology.org/2023.findings-emnlp.832/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
8. [The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation](https://aclanthology.org/2022.emnlp-main.731/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*