---
title: "Who cites Noah Coccaro — page 2 — 417 papers of our library"
description: "417 papers of the Elamur Research library cite the works of Noah Coccaro, found in their bibliographies · page 2 of 2 · 101–135; the most cited first."
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---
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# Who cites Noah Coccaro

473 citations of their works from 417 papers of our library (of the 149,439 whose bibliographies we read) · 135 with a page here, the most cited first · page 2 of 2 · 101–135 · [← Noah Coccaro](https://md.research.elamur.ai/free/en/authors/noah-coccaro/)

[← prev](https://md.research.elamur.ai/free/en/authors/noah-coccaro/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/noah-coccaro/cited-by/) **2**

101. **[Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging](https://md.research.elamur.ai/free/en/papers/yavuz-2020-simple-data-augmentation-mask-token/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, et al.*2020 · 5 citations*
102. **[A Study on Dialog Act Recognition using Character-Level Tokenization](https://md.research.elamur.ai/free/en/papers/ribeiro-2018-study-dialog-act-recognition-using/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Eugenio Ribeiro; Ricardo Ribeiro;, David Martins de Matos*2018 · 5 citations*
103. **[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*
104. [**Dialogue Act Prediction Using Stochastic Context-Free Grammar Induction Proceedings of the EACL 2009 Workshop on Computational Linguistic Aspects of Grammatical Inference**Jeroen Geertzen*2009 · 5 citations*](https://md.research.elamur.ai/free/en/papers/geertzen-2009-dialogue-act-prediction-stochastic-context/)
105. **[Abstracting a Dialog Act Tagset for Meeting Processing](https://md.research.elamur.ai/free/en/papers/belis-2004-abstracting-dialog-act-tagset-meeting/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Andrei Popescu-Belis*2004 · 5 citations*
106. **[Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/saha-2022-meta-learning-based-deferred-optimisation/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Tulika Saha, Aditya Prakash Patra, Sriparna Saha, et al.*2022 · 4 citations*
107. [**Dialogue Act Classification in Group Chats with DAG-LSTMs arXiv:1908.01821**Ozan Irsoy, Rakesh Gosangi, Haimin Zhang, et al.*2019 · 4 citations*](https://md.research.elamur.ai/free/en/papers/irsoy-2019-dialogue-act-classification-group-chats/)
108. [**Speech Act Patterns for Improving Generalizability of Explainable Politeness Detection Models**Ahmad Aljanaideh*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/aljanaideh-2025-speech-act-patterns-improving-generalizability/)
109. **[What did you say? Generating Child-Directed Speech Questions to Train LLMs](https://md.research.elamur.ai/free/en/papers/poh-2025-what-did-you-say-generating/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Whitney Poh, Michael Tombolini, Libby Barak*2025 · 3 citations*
110. [**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/)
111. **[Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization](https://md.research.elamur.ai/free/en/papers/kumar-2020-augmenting-small-data-classify-contextualized/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Abhinav Kumar, Barbara Di Eugenio, Jillian Aurisano, et al.*2020 · 3 citations*
112. **[Filtering conversations through dialogue acts labels for improving corpus-based convergence studies](https://md.research.elamur.ai/free/en/papers/fuscone-2020-filtering-conversations-through-dialogue-acts/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Simone Fuscone, Benoit Favre, Laurent Prévot*2020 · 3 citations*
113. **[Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation](https://md.research.elamur.ai/free/en/papers/he-2018-exploring-textual-speech-information-dialogue/) [Annual Workshop of the Australasian Language Technology Association (ALTA)](https://md.research.elamur.ai/free/en/venues/alta/)**Xuanli He, Quan Tran, William Havard, et al.*2018 · 3 citations*
114. **[Impact of ASR N-Best Information on Bayesian Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/cuayahuitl-2013-impact-asr-n-best-information/) [SIGDIAL Conference](https://md.research.elamur.ai/free/en/venues/sigdial-conference/)**Heriberto Cuayáhuitl, Nina Dethlefs, Helen Hastie, et al.*2013 · 3 citations*
115. [**Collaborative Annotation of Dialogue Acts: Application of a New ISO Standard to the Switchboard Corpus Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data**Alex C. Fang, Harry Bunt, Jing Cao, et al.*2012 · 3 citations*](https://md.research.elamur.ai/free/en/papers/fang-2012-collaborative-annotation-dialogue-acts-application/)
116. **[Unsupervised Approach for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/ohtake-2008-unsupervised-approach-dialogue-act-classification/) [Pacific Asia Conference on Language, Information and Computation (PACLIC)](https://md.research.elamur.ai/free/en/venues/paclic/)**Kiyonori Ohtake*2008 · 3 citations*
117. **[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*
118. **[Studying the Lexicon of Dialogue Acts](https://md.research.elamur.ai/free/en/papers/novielli-2010-studying-lexicon-dialogue-acts/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nicole Novielli, Carlo Strapparava*2010 · 2 citations*
119. **[Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-investigating-representation-backchannels-fillers-fine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Wang, Leyi Lao, Langchu Huang, et al.*2026 · 1 citation*
120. **[Rhetorical Questions in LLM Representations: A Linear Probing Study](https://md.research.elamur.ai/free/en/papers/yao-2026-rhetorical-questions-llm-representations-linear/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Louie Hong Yao, Vishesh Anand, Yuan Zhuang, et al.*2026 · 1 citation*
121. **[A Multi-Dimensional, Cross-Domain and Hierarchy-Aware Neural Architecture for ISO-Standard Dialogue Act Tagging](https://md.research.elamur.ai/free/en/papers/mezza-2022-multi-dimensional-cross-domain-hierarchy/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Stefano Mezza, Wayne Wobcke, Alan Blair*2022 · 1 citation*
122. [**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/)
123. **[Speaker Clustering in Textual Dialogue with Pairwise Utterance Relation and Cross-corpus Dialogue Act Supervision](https://md.research.elamur.ai/free/en/papers/su-2022-speaker-clustering-textual-dialogue-pairwise/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zhihua Su, Qiang Zhou*2022 · 1 citation*
124. **[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*
125. [**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/)
126. **[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*
127. **[From Felt Sense to Words: Construction and Analysis of a Focusing Dialogue Dataset for Verbalization](https://md.research.elamur.ai/free/en/papers/tsunomori-2026-felt-sense-words-construction-analysis/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Yuiko Tsunomori, Yuya Chiba, Yosuke Koshikawa*2026*
128. **[I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System](https://md.research.elamur.ai/free/en/papers/pang-2026-i-understand-how-you-feel/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Zi Haur Pang, Yahui Fu, Koji Inoue, et al.*2026*
129. **[Making Synthetic Questions More Child-Directed: Prompting and Sampling Effects](https://md.research.elamur.ai/free/en/papers/poh-2026-making-synthetic-questions-more-child/) [Workshop on Computational Developmental Linguistics (CDL)](https://md.research.elamur.ai/free/en/venues/cdl/)**Whitney Poh, Michael Tombolini, Libby Barak*2026*
130. **[PAIR: A Pilot Dataset for Dual Perspective-based Video-Grounded Dialogue and Reconciliation](https://md.research.elamur.ai/free/en/papers/watson-2026-pair-pilot-dataset-dual-perspective/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026*
131. [**QuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative AI Solutions on Quranic Linguistic Knowledge arXiv:2609.22038 · Arabic NLP 2026**Rawan El Ghali; Umm Kulsoom; Anas Madkoor; Dima Faris Alsaudi; Roaa Abdelmagid; Roaa Ibrahim; Raghad Mousa; Hamza Aljaji; Abdullah Khanafer; Abdallah Alkanani; Salah Feras Alali; Rawan Khaled Mohamed;, Ehsaneddin Asgari*2026*](https://md.research.elamur.ai/free/en/papers/ghali-2026-quranicmmlu-cognitively-aware-benchmark-evaluating/)
132. **[Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue](https://md.research.elamur.ai/free/en/papers/utting-2026-surprisal-minimisation-over-goal-directed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Thomas P. Utting, Mario Giulianelli, Arabella Sinclair*2026*
133. **[What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels](https://md.research.elamur.ai/free/en/papers/yadavalli-2026-what-do-prosody-text-convey/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Yadavalli, Tiago Pimentel, Tamar I Regev, et al.*2026*
134. [**A Universality-Individuality Integration Model for Dialog Act Classification arXiv:2204.06185**Gao Pengfei, Ma Yinglong*2022*](https://md.research.elamur.ai/free/en/papers/pengfei-2022-universality-individuality-integration-model-dialog/)
135. **[Experiments with Domain Dependent Dialogue Act Classification using Open-Domain Dialogue Corpora](https://md.research.elamur.ai/free/en/papers/hingmire-2017-experiments-domain-dependent-dialogue-act/) [International conference natural language processing](https://md.research.elamur.ai/free/en/venues/international-conference-natural-language-processing/)**Swapnil Hingmire, Apoorv Shrivastava, Girish Palshikar, et al.*2017*

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