---
title: "Who cites Multi-Relational Question Answering from…"
description: "The papers of the Elamur Research library that cite «Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated…"
canonical: "https://research.elamur.ai/free/en/papers/labutov-2018-multi-relational-question-answering-narratives/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Multi-Relational Question Answering from…](https://md.research.elamur.ai/free/en/papers/labutov-2018-multi-relational-question-answering-narratives/) / cited by

# Who cites «Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds»

6 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/labutov-2018-multi-relational-question-answering-narratives/)

1. [SyllabusQA: A Course Logistics Question Answering Dataset](https://aclanthology.org/2024.acl-long.557/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding](https://aclanthology.org/2023.findings-emnlp.677/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
3. [RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding](https://aclanthology.org/2023.findings-acl.275/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
4. [Benchmarking Machine Reading Comprehension: A Psychological Perspective](https://aclanthology.org/2021.eacl-main.137/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
5. [A Vietnamese Dataset for Evaluating Machine Reading Comprehension](https://aclanthology.org/2020.coling-main.233/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
6. [A guide to the dataset explosion in QA, NLI, and commonsense reasoning](https://md.research.elamur.ai/free/en/papers/rogers-2020-guide-dataset-explosion-qa-nli/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts*