---
title: "Who cites A Latent Variable Recurrent — 22 citing papers"
description: "22 papers of the Elamur Research library cite «A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models», found in…"
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# Who cites «A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models»

22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← back to «A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models»](https://md.research.elamur.ai/free/en/papers/ji-2016-latent-variable-recurrent-neural-network/)

1. **[Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/qin-2017-adversarial-connective-exploiting-networks-implicit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.*2017 · 145 citations*
2. **[Dynamic Entity Representations in Neural Language Models](https://md.research.elamur.ai/free/en/papers/ji-2017-dynamic-entity-representations-neural-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yangfeng Ji, Chenhao Tan, Sebastian Martschat, et al.*2017 · 144 citations*
3. [**Dialogue Act Recognition via CRF-Attentive Structured Network arXiv:1711.05568**Zheqian Chen, Rongqin Yang, Zhou Zhao, et al.*2017 · 133 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-dialogue-act-recognition-crf-attentive/)
4. **[Deep Enhanced Representation for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/bai-2018-deep-enhanced-representation-implicit-discourse/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hongxiao Bai, Hai Zhao*2018 · 131 citations*
5. **[Dialogue Act Classification with Context-Aware Self-Attention](https://md.research.elamur.ai/free/en/papers/raheja-2019-dialogue-act-classification-context-aware/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Vipul Raheja, Joel Tetreault*2019 · 89 citations*
6. **[Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings](https://md.research.elamur.ai/free/en/papers/qin-2016-implicit-discourse-relation-recognition-context/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Lianhui Qin, Zhisong Zhang, Hai Zhao*2016 · 46 citations*
7. **[A Survey of Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/xiang-2022-survey-implicit-discourse-relation-recognition/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Wei Xiang, Bang Wang*2022 · 43 citations*
8. **[Structured Dialogue Discourse Parsing](https://md.research.elamur.ai/free/en/papers/chi-2022-structured-dialogue-discourse-parsing/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Ta-Chung Chi, Alexander Rudnicky*2022 · 34 citations*
9. **[Assessing Discourse Relations in Language Generation from GPT-2](https://md.research.elamur.ai/free/en/papers/ko-2020-assessing-discourse-relations-language-generation/) [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/)**Wei-Jen Ko, Junyi Jessy Li*2020 · 30 citations*
10. **[Variational Neural Discourse Relation Recognizer](https://md.research.elamur.ai/free/en/papers/zhang-2016-variational-neural-discourse-relation-recognizer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Biao Zhang, Deyi Xiong, Jinsong Su, et al.*2016 · 30 citations*
11. **[A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations](https://md.research.elamur.ai/free/en/papers/ronnqvist-2017-recurrent-neural-model-attention-recognition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Samuel Rönnqvist, Niko Schenk, Christian Chiarcos*2017 · 27 citations*
12. [**DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse Relations**Merel Scholman, Tianai Dong, Frances Yung, et al.*2022 · 23 citations*](https://md.research.elamur.ai/free/en/papers/scholman-2022-discogem-crowdsourced-corpus-genre-mixed/)
13. **[Preserving Distributional Information in Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/tran-2017-preserving-distributional-information-dialogue-act/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari*2017 · 22 citations*
14. [**Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach**Shafiq Joty, Tasnim Mohiuddin*2018 · 20 citations*](https://md.research.elamur.ai/free/en/papers/joty-2018-modeling-speech-acts-asynchronous-conversations/)
15. **[Comparison of methods for explicit discourse connective identification across various domains](https://md.research.elamur.ai/free/en/papers/scholman-2021-comparison-methods-explicit-discourse-connective/) [Workshop on Computational Approaches to Discourse (CODI)](https://md.research.elamur.ai/free/en/venues/codi/)**Merel Scholman, Tianai Dong, Frances Yung, et al.*2021 · 18 citations*
16. **[Integrating User History into Heterogeneous Graph for Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/wang-2020-integrating-user-history-into-heterogeneous/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Dong Wang, Ziran Li, Haitao Zheng, et al.*2020 · 10 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ji-2016-latent-variable-recurrent-neural-network/) — A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models
