--- title: "Who cites A Context-based Approach for — 19 citing papers" description: "19 papers of the Elamur Research library cite «A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural…" canonical: "https://research.elamur.ai/free/en/papers/bothe-2018-context-based-approach-dialogue-act/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/bothe-2018-context-based-approach-dialogue-act/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Context-based Approach for Dialogue Act…](https://md.research.elamur.ai/free/en/papers/bothe-2018-context-based-approach-dialogue-act/) / cited by # Who cites «A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks» 19 papers of our library cite it (of the 141,840 whose bibliographies we read) · 12 with a page here, the most cited first · [← back to «A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks»](https://md.research.elamur.ai/free/en/papers/bothe-2018-context-based-approach-dialogue-act/) 1. [**Speaker Turn Modeling for Dialogue Act Classification**Zihao He, Leili Tavabi, Kristina Lerman, et al.*2021 · 43 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-speaker-turn-modeling-dialogue-act/) 2. [**Guiding attention in Sequence-to-sequence models for Dialogue Act prediction AAAI 2020**Pierre Colombo, Emile Chapuis, Matteo Manica, et al.*2020 · 34 citations*](https://md.research.elamur.ai/free/en/papers/colombo-2020-guiding-attention-sequence-sequence-models/) **[Speaker-change Aware CRF for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/shang-2020-speaker-change-aware-crf-dialogue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Guokan Shang, Antoine Tixier, Michalis Vazirgiannis, et al.*2020 · 23 citations* **[What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition](https://md.research.elamur.ai/free/en/papers/zelasko-2021-what-helps-transformers-recognize-conversational/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Piotr Żelasko, Raghavendra Pappagari, Najim Dehak*2021 · 19 citations* [**Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition arXiv:2003.06044**Zhigang Dai, Jinhua Fu, Qile Zhu, et al.*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/dai-2020-local-contextual-attention-hierarchical-structure/) **[Rare-Class Dialogue Act Tagging for Alzheimer's Disease Diagnosis](https://md.research.elamur.ai/free/en/papers/nasreen-2021-rare-class-dialogue-act-tagging/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Shamila Nasreen, Julian Hough, Matthew Purver*2021 · 13 citations* [**Large-scale text pre-training helps with dialogue act recognition, but not without fine-tuning**Bill Noble, Vladislav Maraev*2021 · 7 citations*](https://md.research.elamur.ai/free/en/papers/noble-2021-large-scale-text-pre-training/) **[EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators](https://md.research.elamur.ai/free/en/papers/bothe-2020-eda-enriching-emotional-dialogue-acts/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Chandrakant Bothe, Cornelius Weber, Sven Magg, et al.*2020 · 5 citations* **[Automatic Recognition of the General-Purpose Communicative Functions defined by the ISO 24617-2 Standard for Dialog Act Annotation](https://md.research.elamur.ai/free/en/papers/ribeiro-2020-automatic-recognition-general-purpose-communicative/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Eugenio Ribeiro; Ricardo Ribeiro;, David Martins de Matos*2020 · 4 citations* **[Increasing Robustness for Cross-domain Dialogue Act Classification on Social Media Data](https://md.research.elamur.ai/free/en/papers/vielsted-2022-increasing-robustness-cross-domain-dialogue/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Marcus Vielsted, Nikolaj Wallenius, Rob van der Goot*2022 · 3 citations* **[Utterance Position-Aware Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/yano-2021-utterance-position-aware-dialogue-act/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Yuki Yano, Akihiro Tamura, Takashi Ninomiya, et al.*2021 · 1 citation* 7 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/bothe-2018-context-based-approach-dialogue-act/) — A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks