---
title: "Who cites Guiding attention in — 27 citing papers"
description: "27 papers of the Elamur Research library cite «Guiding attention in Sequence-to-sequence models for Dialogue Act prediction», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/colombo-2020-guiding-attention-sequence-sequence-models/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Guiding attention in Sequence-to-sequence models…](https://md.research.elamur.ai/free/en/papers/colombo-2020-guiding-attention-sequence-sequence-models/) / cited by

# Who cites «Guiding attention in Sequence-to-sequence models for Dialogue Act prediction»

27 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Guiding attention in Sequence-to-sequence models for Dialogue Act prediction»](https://md.research.elamur.ai/free/en/papers/colombo-2020-guiding-attention-sequence-sequence-models/)

1. [**COMICORDA: Dialogue Act Recognition in Comic Books**Jiri Martinek, Pavel Kral, Ladislav Lenc, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/martinek-2024-comicorda-dialogue-act-recognition-comic/) **[Improving Dialogue Act Recognition with Augmented Data](https://md.research.elamur.ai/free/en/papers/mahajan-2022-improving-dialogue-act-recognition-augmented/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Khyati Mahajan, Soham Parikh, Quaizar Vohra, et al.*2022 · 2 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*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/colombo-2020-guiding-attention-sequence-sequence-models/) — Guiding attention in Sequence-to-sequence models for Dialogue Act prediction