---
title: "Who cites Modeling Multi-turn Conversation — 81 citing papers"
description: "81 papers of the Elamur Research library cite «Modeling Multi-turn Conversation with Deep Utterance Aggregation», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/zhang-2018-modeling-multi-turn-conversation-deep/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhang-2018-modeling-multi-turn-conversation-deep/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Modeling Multi-turn Conversation with Deep…](https://md.research.elamur.ai/free/en/papers/zhang-2018-modeling-multi-turn-conversation-deep/) / cited by

# Who cites «Modeling Multi-turn Conversation with Deep Utterance Aggregation»

81 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Modeling Multi-turn Conversation with Deep Utterance Aggregation»](https://md.research.elamur.ai/free/en/papers/zhang-2018-modeling-multi-turn-conversation-deep/)

1. **[Head-Driven Phrase Structure Grammar Parsing on Penn Treebank](https://md.research.elamur.ai/free/en/papers/zhou-2019-head-driven-phrase-structure-grammar/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junru Zhou, Hai Zhao*2019 · 219 citations*
2. **[MuTual: A Dataset for Multi-Turn Dialogue Reasoning](https://md.research.elamur.ai/free/en/papers/cui-2020-mutual-dataset-multi-turn-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Leyang Cui, Yu Wu, Shujie Liu, et al.*2020 · 190 citations*
3. **[Towards Persona-Based Empathetic Conversational Models](https://md.research.elamur.ai/free/en/papers/zhong-2020-persona-based-empathetic-conversational-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Peixiang Zhong, Chen Zhang, Hao Wang, et al.*2020 · 162 citations*
4. **[Seq2seq Dependency Parsing](https://md.research.elamur.ai/free/en/papers/li-2018-seq2seq-dependency-parsing/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zuchao Li, Jiaxun Cai, Shexia He, et al.*2018 · 153 citations*
5. **[Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom](https://md.research.elamur.ai/free/en/papers/yue-2024-do-large-language-models-understand/) [Chinese National Conference on Computational Linguistics](https://md.research.elamur.ai/free/en/venues/ccl/)**Shisen Yue, Siyuan Song, Xinyuan Cheng, et al.*2024 · 19 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2018-modeling-multi-turn-conversation-deep/) — Modeling Multi-turn Conversation with Deep Utterance Aggregation