--- title: "Who cites Can Prosody Aid the Automatic — 49 citing papers" description: "49 papers of the Elamur Research library cite «Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech?»…" canonical: "https://research.elamur.ai/free/en/papers/shriberg-2000-prosody-aid-automatic-classification-dialog/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/shriberg-2000-prosody-aid-automatic-classification-dialog/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Can Prosody Aid the Automatic Classification of…](https://md.research.elamur.ai/free/en/papers/shriberg-2000-prosody-aid-automatic-classification-dialog/) / cited by # Who cites «Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech?» 49 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · [← back to «Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech?»](https://md.research.elamur.ai/free/en/papers/shriberg-2000-prosody-aid-automatic-classification-dialog/) 1. [**Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech**Andreas Stolcke, Klaus Ries, Noah Coccaro, et al.*2000 · 1,453 citations*](https://md.research.elamur.ai/free/en/papers/stolcke-2000-dialogue-act-modeling-automatic-tagging/) 2. [**Lexical, Prosodic, and Syntactic Cues for Dialog Acts Discourse Relations and Discourse Markers**Daniel Jurafsky, Elizabeth Shriberg, Barbara Fox, et al.*1998 · 132 citations*](https://md.research.elamur.ai/free/en/papers/jurafsky-1998-lexical-prosodic-syntactic-cues-dialog/) 3. **[Classifying Dialogue Acts in One-on-One Live Chats](https://md.research.elamur.ai/free/en/papers/kim-2010-classifying-dialogue-acts-one-one/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Su Nam Kim, Lawrence Cavedon, Timothy Baldwin*2010 · 125 citations* 4. **[Text-Free Prosody-Aware Generative Spoken Language Modeling](https://md.research.elamur.ai/free/en/papers/kharitonov-2022-text-free-prosody-aware-generative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eugene Kharitonov, Ann Lee, Adam Polyak, et al.*2022 · 104 citations* 5. **[DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems](https://md.research.elamur.ai/free/en/papers/walker-2001-date-dialogue-act-tagging-scheme/) [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/)**Marilyn Walker, Rebecca Passonneau*2001 · 65 citations* 6. [**A Framework for Annotating Information Structure in Discourse**Sasha Calhoun, Malvina Nissim, Mark Steedman, et al.*2005 · 59 citations*](https://md.research.elamur.ai/free/en/papers/calhoun-2005-framework-annotating-information-structure-discourse/) 7. **[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/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Chandrakant Bothe, Cornelius Weber, Sven Magg, et al.*2018 · 46 citations* 8. **[On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/cerisara-2020-effects-using-word2vec-representations-neural/) [Computer Speech & Language](https://md.research.elamur.ai/free/en/venues/computer-speech-language/)**Christophe Cerisara, Pavel Kral, Ladislav Lenc*2017 · 46 citations* 9. [**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/) 10. **[Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging](https://md.research.elamur.ai/free/en/papers/ji-2006-backoff-model-training-partially-observed/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Gang Ji, Jeff Bilmes*2006 · 37 citations* 11. **[Automatic Identification of Rhetorical Questions](https://md.research.elamur.ai/free/en/papers/bhattasali-2015-automatic-identification-rhetorical-questions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shohini Bhattasali, Jeremy Cytryn, Elana Feldman, et al.*2015 · 34 citations* 12. **[Training a Dialogue Act Tagger for Human-human and Human-computer Travel dialogues](https://md.research.elamur.ai/free/en/papers/prasad-2002-training-dialogue-act-tagger-human/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Rashmi Prasad, Marilyn Walker*2002 · 22 citations* 13. **[Lexico-acoustic Neural-based Models for Dialog Act Classification](https://md.research.elamur.ai/free/en/papers/ortega-2018-lexico-acoustic-neural-based-models/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Daniel Ortega, Ngoc Thang Vu*2018 · 21 citations* 14. **[Creating Annotated Dialogue Resources: Cross-domain Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/amanova-2016-creating-annotated-dialogue-resources-cross/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dilafruz Amanova, Volha Petukhova, Dietrich Klakow*2016 · 19 citations* 15. **[End-to-end speech-to-dialog-act recognition](https://md.research.elamur.ai/free/en/papers/dang-2020-end-end-speech-dialog-act/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Viet-Trung Dang, Tianyu Zhao, Sei Ueno, et al.*2020 · 11 citations* 16. **[Joint Learning of Dialog Act Segmentation and Recognition in Spoken Dialog Using Neural Networks](https://md.research.elamur.ai/free/en/papers/zhao-2017-joint-learning-dialog-act-segmentation/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Tianyu Zhao, Tatsuya Kawahara*2017 · 10 citations* 17. **[Sub-lexical Dialogue Act Classification in a Spoken Dialogue System Support for the Elderly with Cognitive Disabilities](https://md.research.elamur.ai/free/en/papers/sadohara-2013-sub-lexical-dialogue-act-classification/) [Workshop on Speech and Language Processing for Assistive Technologies](https://md.research.elamur.ai/free/en/venues/workshop-on-speech-and-language-processing-for-assistive-technologies/)**Ken Sadohara, Hiroaki Kojima, Takuya Narita, et al.*2013 · 5 citations* 18. [**A neural prosody encoder for end-ro-end dialogue act classification arXiv:2205.05590**Kai Wei, Dillon Knox, Martin Radfar, et al.*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/wei-2022-neural-prosody-encoder-end-ro/) 19. [**Completing and Validating the Re-Aligned Switchboard Dialog Act Corpus**Run Chen, Zihao Tao, John Prado, et al.*2026*](https://md.research.elamur.ai/free/en/papers/chen-2026-completing-validating-re-aligned-switchboard/) 20. **[Disentangling Annotator Skill from Verifier Strictness in Cross-Verified Dialogue Annotation](https://md.research.elamur.ai/free/en/papers/tao-2026-disentangling-annotator-skill-verifier-strictness/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Zihao Tao, John A. Prado, Ignazio Steven LaManna, et al.*2026* 29 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/shriberg-2000-prosody-aid-automatic-classification-dialog/) — Can Prosody Aid the Automatic Classification of Dialog Acts in Conversational Speech?