---
title: "Who cites Lina M. Rojas-Barahona — 445 papers of our library"
description: "445 papers of the Elamur Research library cite the works of Lina M. Rojas-Barahona, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/lina-m-rojas-barahona/cited-by/"
---
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# Who cites Lina M. Rojas-Barahona

463 citations of their works from 445 papers of our library (of the 149,439 whose bibliographies we read) · 64 with a page here, the most cited first · [← Lina M. Rojas-Barahona](https://md.research.elamur.ai/free/en/authors/lina-m-rojas-barahona/)

1. **[MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling](https://md.research.elamur.ai/free/en/papers/budzianowski-2018-multiwoz-large-scale-multi-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, et al.*2018 · 1,663 citations*
2. **[Deep Reinforcement Learning for Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2016-deep-reinforcement-learning-dialogue-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Will Monroe, Alan Ritter, et al.*2016 · 1,502 citations*
3. [**Wizard of Wikipedia: Knowledge-Powered Conversational agents arXiv:1811.01241**Emily Dinan, Stephen Roller, Kurt Shuster, et al.*2018 · 1,067 citations*](https://md.research.elamur.ai/free/en/papers/dinan-2018-wizard-wikipedia-knowledge-powered-conversational/)
4. **[Adversarial Learning for Neural Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2017-adversarial-learning-neural-dialogue-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Will Monroe, Tianlin Shi, et al.*2017 · 1,063 citations*
5. **[Why We Need New Evaluation Metrics for NLG](https://md.research.elamur.ai/free/en/papers/novikova-2017-why-we-need-new-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, et al.*2017 · 690 citations*
6. **[Efficient Intent Detection with Dual Sentence Encoders](https://md.research.elamur.ai/free/en/papers/casanueva-2020-efficient-intent-detection-dual-sentence/) [Workshop on Natural Language Processing for Conversational AI](https://md.research.elamur.ai/free/en/venues/nlp4convai/)**Iñigo Casanueva, Tadas Temčinas, Daniela Gerz, et al.*2020 · 628 citations*
7. **[Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems](https://md.research.elamur.ai/free/en/papers/wu-2019-transferable-multi-domain-state-generator/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, et al.*2019 · 628 citations*
8. [**The WebNLG Challenge: Generating Text from RDF Data**Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al.*2017 · 583 citations*](https://md.research.elamur.ai/free/en/papers/gardent-2017-webnlg-challenge-generating-text-rdf/)
9. **[Style Transfer Through Back-Translation](https://md.research.elamur.ai/free/en/papers/prabhumoye-2018-style-transfer-through-back-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al.*2018 · 558 citations*
10. [**The Natural Language Decathlon: Multitask Learning as Question Answering arXiv:1806.08730**Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.*2018 · 545 citations*](https://md.research.elamur.ai/free/en/papers/mccann-2018-natural-language-decathlon-multitask-learning/)
11. **[A Network-based End-to-End Trainable Task-oriented Dialogue System](https://md.research.elamur.ai/free/en/papers/wen-2017-network-based-end-end-trainable/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tsung-Hsien Wen, David Vandyke, Nikola Mrkšić, et al.*2017 · 534 citations*
12. **[Creating Training Corpora for NLG Micro-Planners](https://md.research.elamur.ai/free/en/papers/gardent-2017-creating-training-corpora-nlg-micro/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al.*2017 · 528 citations*
13. **[The E2E Dataset: New Challenges For End-to-End Generation](https://md.research.elamur.ai/free/en/papers/novikova-2017-e2e-dataset-new-challenges-end/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Jekaterina Novikova, Ondřej Dušek, Verena Rieser*2017 · 471 citations*
14. [**Ethical and social risks of harm from Language Models arXiv:2112.04359**Laura Weidinger, John Mellor, Maribeth Rauh, et al.*2021 · 456 citations*](https://md.research.elamur.ai/free/en/papers/weidinger-2021-ethical-social-risks-harm-language/)
15. **[Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures](https://md.research.elamur.ai/free/en/papers/lei-2018-sequicity-simplifying-task-oriented-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqiang Lei, Xisen Jin, Min-Yen Kan, et al.*2018 · 430 citations*
16. **[Deal or No Deal? End-to-End Learning of Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/lewis-2017-deal-or-no-deal-end/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mike Lewis, Denis Yarats, Yann Dauphin, et al.*2017 · 423 citations*
17. **[Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems](https://md.research.elamur.ai/free/en/papers/madotto-2018-mem2seq-effectively-incorporating-knowledge-bases/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Andrea Madotto, Chien-Sheng Wu, Pascale Fung*2018 · 405 citations*
18. [**A Simple Language Model for Task-Oriented Dialogue arXiv:2005.00796**Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, et al.*2020 · 399 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-asl-2020-simple-language-model-task-oriented/)
19. **[What makes a good conversation? How controllable attributes affect human judgments](https://md.research.elamur.ai/free/en/papers/see-2019-what-makes-good-conversation-how/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Abigail See, Stephen Roller, Douwe Kiela, et al.*2019 · 374 citations*
20. **[TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/wu-2020-tod-bert-pre-trained-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al.*2020 · 361 citations*
21. **[Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access](https://md.research.elamur.ai/free/en/papers/dhingra-2017-end-end-reinforcement-learning-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bhuwan Dhingra, Lihong Li, Xiujun Li, et al.*2017 · 350 citations*
22. **[MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines](https://md.research.elamur.ai/free/en/papers/zang-2020-multiwoz-2-2-dialogue-dataset/) [Workshop on Natural Language Processing for Conversational AI](https://md.research.elamur.ai/free/en/venues/nlp4convai/)**Xiaoxue Zang, Abhinav Rastogi, Srinivas Sunkara, et al.*2020 · 335 citations*
23. **[Frames: a corpus for adding memory to goal-oriented dialogue systems](https://md.research.elamur.ai/free/en/papers/asri-2017-frames-corpus-adding-memory-goal/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Layla El Asri, Hannes Schulz, Shikhar Sharma, et al.*2017 · 333 citations*
24. **[Globally Coherent Text Generation with Neural Checklist Models](https://md.research.elamur.ai/free/en/papers/kiddon-2016-globally-coherent-text-generation-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chloé Kiddon, Luke Zettlemoyer, Yejin Choi*2016 · 304 citations*
25. **[Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM](https://md.research.elamur.ai/free/en/papers/habernal-2016-which-argument-is-more-convincing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ivan Habernal, Iryna Gurevych*2016 · 303 citations*
26. **[Efficient Dialogue State Tracking by Selectively Overwriting Memory](https://md.research.elamur.ai/free/en/papers/kim-2020-efficient-dialogue-state-tracking-selectively/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sungdong Kim, Sohee Yang, Gyuwan Kim, et al.*2020 · 270 citations*
27. **[ConveRT: Efficient and Accurate Conversational Representations from Transformers](https://md.research.elamur.ai/free/en/papers/henderson-2020-convert-efficient-accurate-conversational-representations/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Matthew Henderson, Iñigo Casanueva, Nikola Mrkšić, et al.*2020 · 269 citations*
28. **[CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases](https://md.research.elamur.ai/free/en/papers/yu-2019-cosql-conversational-text-sql-challenge/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tao Yu, Rui Zhang, Heyang Er, et al.*2019 · 262 citations*
29. **[Task-oriented Dialogue System for Automatic Diagnosis](https://md.research.elamur.ai/free/en/papers/wei-2018-task-oriented-dialogue-system-automatic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhongyu Wei, Qianlong Liu, Baolin Peng, et al.*2018 · 254 citations*
30. **[Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset](https://md.research.elamur.ai/free/en/papers/byrne-2019-taskmaster-1-realistic-diverse-dialog/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, et al.*2019 · 247 citations*
31. **[Towards Exploiting Background Knowledge for Building Conversation Systems](https://md.research.elamur.ai/free/en/papers/moghe-2018-exploiting-background-knowledge-building-conversation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nikita Moghe, Siddhartha Arora, Suman Banerjee, et al.*2018 · 244 citations*
32. **[MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems](https://md.research.elamur.ai/free/en/papers/lin-2020-mintl-minimalist-transfer-learning-task/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, et al.*2020 · 240 citations*
33. **[Decoupling Strategy and Generation in Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/he-2018-decoupling-strategy-generation-negotiation-dialogues/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**He He, Derek Chen, Anusha Balakrishnan, et al.*2018 · 236 citations*
34. **[End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2](https://md.research.elamur.ai/free/en/papers/ham-2020-end-end-neural-pipeline-goal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang, et al.*2020 · 230 citations*
35. **[Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems](https://md.research.elamur.ai/free/en/papers/liu-2018-dialogue-learning-human-teaching-feedback/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bing Liu, Gokhan Tür, Dilek Hakkani-Tür, et al.*2018 · 213 citations*
36. **[Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing](https://md.research.elamur.ai/free/en/papers/ramadan-2018-large-scale-multi-domain-belief/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Osman Ramadan, Paweł Budzianowski, Milica Gašić*2018 · 192 citations*
37. **[Towards Universal Dialogue State Tracking](https://md.research.elamur.ai/free/en/papers/ren-2018-universal-dialogue-state-tracking/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Liliang Ren, Kaige Xie, Lu Chen, et al.*2018 · 191 citations*
38. **[An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking](https://md.research.elamur.ai/free/en/papers/xu-2018-end-end-approach-handling-unknown/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Puyang Xu, Qi Hu*2018 · 187 citations*
39. **[Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/shah-2018-bootstrapping-neural-conversational-agent-dialogue/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Pararth Shah, Dilek Hakkani-Tür, Bing Liu, et al.*2018 · 181 citations*
40. **[KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation](https://md.research.elamur.ai/free/en/papers/chen-2020-kgpt-knowledge-grounded-pre-training/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenhu Chen, Yu Su, Xifeng Yan, et al.*2020 · 174 citations*
41. **[Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models](https://md.research.elamur.ai/free/en/papers/zhao-2019-rethinking-action-spaces-reinforcement-learning/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tiancheng Zhao, Kaige Xie, Maxine Eskenazi*2019 · 169 citations*
42. **[Semantic Noise Matters for Neural Natural Language Generation](https://md.research.elamur.ai/free/en/papers/dusek-2019-semantic-noise-matters-neural-natural/) [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/)**Ondřej Dušek, David M. Howcroft, Verena Rieser*2019 · 164 citations*
43. [**Unsupervised Text Style Transfer using Language Models as Discriminators arXiv:1805.11749**Zichao Yang, Zhiting Hu, Chris Dyer, et al.*2018 · 161 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-unsupervised-text-style-transfer-using/)
44. **[Modeling Multi-turn Conversation with Deep Utterance Aggregation](https://md.research.elamur.ai/free/en/papers/zhang-2018-modeling-multi-turn-conversation-deep/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu, et al.*2018 · 154 citations*
45. **[Multilingual Autoregressive Entity Linking](https://md.research.elamur.ai/free/en/papers/cao-2022-multilingual-autoregressive-entity-linking/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nicola De Cao, Ledell Wu, Kashyap Popat, et al.*2022 · 153 citations*
46. **[CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset](https://md.research.elamur.ai/free/en/papers/zhu-2020-crosswoz-large-scale-chinese-cross/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Qi Zhu, Kaili Huang, Zheng Zhang, et al.*2020 · 147 citations*
47. **[End-to-End Task-Completion Neural Dialogue Systems](https://md.research.elamur.ai/free/en/papers/li-2017-end-end-task-completion-neural/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Xiujun Li, Yun-Nung Chen, Lihong Li, et al.*2017 · 146 citations*
48. [**Continuously Learning Neural Dialogue Management arXiv:1606.02689**Pei-Hao Su, Milica Gasic, Nikola Mrksic, et al.*2016 · 137 citations*](https://md.research.elamur.ai/free/en/papers/su-2016-continuously-learning-neural-dialogue-management/)
49. **[Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/balakrishnan-2019-constrained-decoding-neural-nlg-compositional/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, et al.*2019 · 133 citations*
50. **[MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems](https://md.research.elamur.ai/free/en/papers/macina-2023-mathdial-dialogue-tutoring-dataset-rich/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jakub Macina, Nico Daheim, Sankalan Chowdhury, et al.*2023 · 131 citations*
51. **[MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation](https://md.research.elamur.ai/free/en/papers/ye-2022-multiwoz-2-4-multi-domain/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz*2022 · 131 citations*
52. **[A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems](https://md.research.elamur.ai/free/en/papers/yi-2024-survey-recent-advances-llm-based/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Zihao Yi, Jiarui Ouyang, Zhe Xu, et al.*2024 · 130 citations*
53. **[NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints](https://md.research.elamur.ai/free/en/papers/lu-2021-neurologic-decoding-un-supervised-neural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ximing Lu, Peter West, Rowan Zellers, et al.*2021 · 110 citations*
54. **[Aspect-Controlled Neural Argument Generation](https://md.research.elamur.ai/free/en/papers/schiller-2021-aspect-controlled-neural-argument-generation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych*2021 · 103 citations*
55. **[GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/quan-2019-gecor-end-end-generative-ellipsis/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jun Quan, Deyi Xiong, Bonnie Webber, et al.*2019 · 87 citations*
56. **[Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking](https://md.research.elamur.ai/free/en/papers/zhang-2020-find-or-classify-dual-strategy/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, et al.*2020 · 79 citations*
57. **[Planning, Inference and Pragmatics in Sequential Language Games](https://md.research.elamur.ai/free/en/papers/khani-2018-planning-inference-pragmatics-sequential-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Fereshte Khani, Noah D. Goodman, Percy Liang*2018 · 31 citations*
58. [**Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models arXiv:2005.14709**Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/schlegel-2020-leaderboards-survey-methods-revealing-weaknesses/)
59. **[InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions](https://md.research.elamur.ai/free/en/papers/wu-2023-inscit-information-seeking-conversations-mixed/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zeqiu Wu, Ryu Parish, Hao Cheng, et al.*2023 · 23 citations*
60. **[A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection](https://md.research.elamur.ai/free/en/papers/wu-2021-context-aware-hierarchical-bert-fusion/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Ting-Wei Wu, Ruolin Su, Biing-Hwang Juang*2021 · 19 citations*
61. **[MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations](https://md.research.elamur.ai/free/en/papers/saley-2024-meditod-english-dialogue-dataset-medical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, et al.*2024 · 14 citations*
62. [**Disentangling Indirect Answers to Yes-No Questions in Real Conversations**Krishna Sanagavarapu, Jathin Singaraju, Anusha Kakileti, et al.*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/sanagavarapu-2022-disentangling-indirect-answers-yes-no/)
63. **[DyBBT: Dynamic Balance via Bandit-inspired Targeting for Dialog Policy with Cognitive Dual Systems](https://md.research.elamur.ai/free/en/papers/zhang-2026-dybbt-dynamic-balance-bandit-inspired/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuyu Zhang, Yifan Wei, Jialuo Yuan, et al.*2026*
64. **[TRACER: Early Failure Detection for Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/nourbakhsh-2026-tracer-early-failure-detection-task/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Erfan Nourbakhsh, Rocky Slavin, Ke Yang, et al.*2026*

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