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Who cites Piroska Lendvai

11 citations of their works from 11 papers of our library (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · ← Piroska Lendvai

  1. Using Context Information for Dialog Act Classification in DNN FrameworkConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Liu, Kun Han, Zhao Tan, et al.2017 · 143 citations
  2. Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural NetworkInternational Conference on Computational Linguistics (COLING)Hamed Khanpour, Nishitha Guntakandla, Rodney Nielsen2016 · 134 citations
  3. Dialogue Act Recognition via CRF-Attentive Structured NetworkarXiv:1711.05568Zheqian Chen, Rongqin Yang, Zhou Zhao, et al.2017 · 133 citations
  4. Dialogue Act Sequence Labeling using Hierarchical encoder with CRFProceedings of the AAAI Conference on Artificial IntelligenceHarshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, et al.2017 · 75 citations
  5. Automatic Extraction of Cue Phrases for Cross-Corpus Dialogue Act ClassificationInternational Conference on Computational Linguistics (COLING)Nick Webb, Michael Ferguson2010 · 26 citations
  6. Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic ConvolutionsInternational Conference on Computational Linguistics (COLING)Jingye Li, Hao Fei, Donghong Ji2020 · 25 citations
  7. Incremental dialogue act understandingInternational Conference on Computational SemanticsVolha Petukhova, Harry Bunt2011 · 24 citations
  8. Speaker-change Aware CRF for Dialogue Act ClassificationInternational Conference on Computational Linguistics (COLING)Guokan Shang, Antoine Tixier, Michalis Vazirgiannis, et al.2020 · 23 citations
  9. Toward incremental dialogue act segmentation in fast-paced interactive dialogue systemsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Ramesh Manuvinakurike, Maike Paetzel, Cheng Qu, et al.2016 · 19 citations
  10. Derived Text Formats as Strategic Transformations of In-Copyright Materials to Support Open Science: A SurveyLeveraging Derived Text Formats to Unlock Copyrighted Collections for Open Science (DTF) @ LRECChristof Schöch2026

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