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Large, transformer-based pretrained language models like BERT, GPT, and T5 have demonstrated a deep understanding of contextual semantics and language syntax.
Socialiqa: Commonsense reasoning about social interactions
Sap, M.; Rashkin, H.; Chen, D.; LeBras, R.; and Choi, Y. 2019b · 1904
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Storks, S.; Gao, Q.; and Chai, J. Y. 2019 · 1904
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HellaSwag: Can a machine really finish your sentence?
Zellers, R.; Holtzman, A.; Bisk, Y.; Farhadi, A.; and Choi, Y. 2019 · 1905
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Comet: Commonsense transformers for automatic knowledge graph construction
Bosselut, A.; Rashkin, H.; Sap, M.; Malaviya, C.; Celikyilmaz, A.; and Choi, Y. 2019 · 1906
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Abductive commonsense reasoning
Bhagavatula, C.; Bras, R. L.; Malaviya, C.; Sakaguchi, K.; Holtzman, A.; Rashkin, H.; Downey, D.; Yih, S. W.-t.; and Choi, Y. 2019 · 1908
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Cosmos QA: Machine reading comprehension with contextual commonsense reasoning
Huang, L.; Bras, R. L.; Bhagavatula, C.; and Choi, Y. 2019 · 1909
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Knowledge-enriched transformer for emotion detection in textual conversations
Zhong, P.; Wang, D.; and Miao, C. 2019 · 1909
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Lewis, M.; Liu, Y.; Goyal, N.; Ghazvininejad, M.; Mohamed, A.; Levy, O.; Stoyanov, V.; and Zettlemoyer, L. 2019 · 1910
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Samsum corpus: A human-annotated dialogue dataset for abstractive summarization
Gliwa, B.; Mochol, I.; Biesek, M.; and Wawer, A. 2019 · 1911
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Dialogpt: Large-scale generative pre-training for conversational response generation
Zhang, Y.; Sun, S.; Galley, M.; Chen, Y.-C.; Brockett, C.; Gao, X.; Gao, J.; Liu, J.; and Dolan, B. 2019 · 1911
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Generalized zero-shot intent detection via commonsense knowledge
Siddique, A.; Jamour, F.; Xu, L.; and Hristidis, V. 2021 · 1929
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Logic and conversation
Grice, H. P. 1975 · 1975
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The challenge of spoken language systems: Research directions for the nineties
Cole, R.; Hirschman, L.; Atlas, L.; Beckman, M.; Biermann, A.; Bush, M.; Clements, M.; Cohen, L.; Garcia, O.; Hanson, B.; et al. 1995 · 1995
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The ICSI Meeting Corpus
Janin, A.; Baron, D.; Edwards, J.; Ellis, D.; Gelbart, D.; Morgan, N.; Peskin, B.; Pfau, T.; Shriberg, E.; Stolcke, A.; and Wooters, C. 2003 · 2003
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MuTual: A Dataset for Multi-Turn Dialogue Reasoning
Cui, L.; Wu, Y.; Liu, S.; Zhang, Y.; and Zhou, M. 2020 · 2004
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ConceptNet—a practical commonsense reasoning tool-kit
Liu, H.; and Singh, P. 2004 · 2004
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Lin, B. Y.; Lee, S.; Khanna, R.; and Ren, X. 2020 · 2005
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The AMI meeting corpus
McCowan, I.; Carletta, J.; Kraaij, W.; Ashby, S.; Bourban, S.; Flynn, M.; Guillemot, M.; Hain, T.; Kadlec, J.; Karaiskos, V.; et al. 2005 · 2005
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Aligning ai with shared human values
Hendrycks, D.; Burns, C.; Basart, S.; Critch, A.; Li, J.; Song, D.; and Steinhardt, J. 2020 · 2008
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Cosmic: Commonsense knowledge for emotion identification in conversations
Ghosal, D.; Majumder, N.; Gelbukh, A.; Mihalcea, R.; and Poria, S. 2020 · 2010
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GRADE: Automatic graph-enhanced coherence metric for evaluating open-domain dialogue systems
Huang, L.; Ye, Z.; Qin, J.; Lin, L.; and Liang, X. 2020 · 2010
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Comet-atomic 2020: On symbolic and neural commonsense knowledge graphs
Hwang, J. D.; Bhagavatula, C.; Bras, R. L.; Da, J.; Sakaguchi, K.; Bosselut, A.; and Choi, Y. 2020 · 2010
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Like hiking? you probably enjoy nature: Persona-grounded dialog with commonsense expansions
Majumder, B. P.; Jhamtani, H.; Berg-Kirkpatrick, T.; and McAuley, J. 2020 · 2010
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The CALO meeting assistant system
Tur, G.; Stolcke, A.; Voss, L.; Peters, S.; Hakkani-Tur, D.; Dowding, J.; Favre, B.; Fernández, R.; Frampton, M.; Frandsen, M.; et al. 2010 · 2010
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Detecting implicit expressions of sentiment in text based on commonsense knowledge
Balahur, A.; Hermida, J. M.; and Montoyo, A. 2011 · 2011
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Social chemistry 101: Learning to reason about social and moral norms
Forbes, M.; Hwang, J. D.; Shwartz, V.; Sap, M.; and Choi, Y. 2020 · 2011
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Using recurrent neural networks for slot filling in spoken language understanding
Mesnil, G.; Dauphin, Y.; Yao, K.; Bengio, Y.; Deng, L.; Hakkani-Tur, D.; He, X.; Heck, L.; Tur, G.; Yu, D.; et al. 2014 · 2014
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The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
Lowe, R.; Pow, N.; Serban, I.; and Pineau, J. 2015 · 2015
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Contextual lstm (clstm) models for large scale nlp tasks
Ghosh, S.; Vinyals, O.; Strope, B.; Roy, S.; Dean, T.; and Heck, L. 2016 · 2016
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Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding
Jaech, A.; Heck, L.; and Ostendorf, M. 2016 · 2016
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Sequential dialogue context modeling for spoken language understanding
Bapna, A.; Tur, G.; Hakkani-Tur, D.; and Heck, L. 2017 · 2017
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A survey on dialogue systems: Recent advances and new frontiers
Chen, H.; Liu, X.; Yin, D.; and Tang, J. 2017 · 2017
DialogSum: A real-life scenario dialogue summarization dataset
Chen, Y.; Liu, Y.; Chen, L.; and Zhang, Y. 2021 · 2021
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Paragraph-level commonsense transformers with recurrent memory
Gabriel, S.; Bhagavatula, C.; Shwartz, V.; Le Bras, R.; Forbes, M.; and Choi, Y. 2021 · 2021
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CIDER: Commonsense Inference for Dialogue Explanation and Reasoning
Ghosal, D.; Hong, P.; Shen, S.; Majumder, N.; Mihalcea, R.; and Poria, S. 2021 · 2021
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Dimensions of commonsense knowledge
Ilievski, F.; Oltramari, A.; Ma, K.; Zhang, B.; McGuinness, D. L.; and Szekely, P. 2021 · 2021
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Enhancing emotion inference in conversations with commonsense knowledge
Li, D.; Zhu, X.; Li, Y.; Wang, S.; Li, D.; Liao, J.; and Zheng, J. 2021 · 2021
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Cited alongside, same era.
A formal theory of commonsense psychology: How people think people think
Gordon, A. S.; and Hobbs, J. R. 2017 · 2017
Cited alongside, same era.
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
Li, Y.; Su, H.; Shen, X.; Li, W.; Cao, Z.; and Niu, S. 2017 · 2017
Cited alongside, same era.
Parlai: A dialog research software platform
Miller, A. H.; Feng, W.; Fisch, A.; Lu, J.; Batra, D.; Bordes, A.; Parikh, D.; and Weston, J. 2017 · 2017
Cited alongside, same era.
Conceptnet 5.5: An open multilingual graph of general knowledge
Speer, R.; Chin, J.; and Havasi, C. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
Cited alongside, same era.
Veličković, P.; Cucurull, G.; Casanova, A.; Romero, A.; Lio, P.; and Bengio, Y. 2017 · 2017
Cited alongside, same era.
MultiWOZ–a large-scale multi-domain wizard-of-oz dataset for task-oriented dialogue modelling
Budzianowski, P.; Wen, T.-H.; Tseng, B.-H.; Casanueva, I.; Ultes, S.; Ramadan, O.; and Gašić, M. 2018 · 2018
Cited alongside, same era.
Unicorn on rainbow: A universal commonsense reasoning model on a new multitask benchmark
Lourie, N.; Le Bras, R.; Bhagavatula, C.; and Choi, Y. 2021 · 2021
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Knowledge-driven data construction for zero-shot evaluation in commonsense question answering
Ma, K.; Ilievski, F.; Francis, J.; Bisk, Y.; Nyberg, E.; and Oltramari, A. 2021 · 2021
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TIMEDIAL: Temporal Commonsense Reasoning in Dialog
Qin, L.; Gupta, A.; Upadhyay, S.; He, L.; Choi, Y.; and Faruqui, M. 2021 · 2021
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Winogrande: An adversarial winograd schema challenge at scale
Sakaguchi, K.; Bras, R. L.; Bhagavatula, C.; and Choi, Y. 2021 · 2021
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COM2SENSE: A commonsense reasoning benchmark with complementary sentences
Singh, S.; Wen, N.; Hou, Y.; Alipoormolabashi, P.; Wu, T.-L.; Ma, X.; and Peng, N. 2021 · 2021
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Multi-Turn Dialogue Reading Comprehension With Pivot Turns and Knowledge
Zhang, Z.; Li, J.; and Zhao, H. 2021 · 2021
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The Curious Case of Commonsense Intelligence
Choi, Y. 2022 · 2022
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CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues
Ghosal, D.; Shen, S.; Majumder, N.; Mihalcea, R.; and Poria, S. 2022 · 2022
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Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation
Gupta, P.; Jhamtani, H.; and Bigham, J. P. 2022 · 2022
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Designing a strong test for measuring true common-sense reasoning
Kejriwal, M.; Santos, H.; Mulvehill, A. M.; and McGuinness, D. L. 2022 · 2022
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Li, J.; Meng, F.; Lin, Z.; Liu, R.; Fu, P.; Cao, Y.; Wang, W.; and Zhou, J. 2022 · 2022
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Recent advances in deep learning based dialogue systems: A systematic survey
Ni, J.; Young, T.; Pandelea, V.; Xue, F.; and Cambria, E. 2022 · 2022
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Cem: Commonsense-aware empathetic response generation
Sabour, S.; Zheng, C.; and Huang, M. 2022 · 2022
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BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage
Shuster, K.; Xu, J.; Komeili, M.; Ju, D.; Smith, E. M.; Roller, S.; Ung, M.; Chen, M.; Arora, K.; Lane, J.; et al. 2022 · 2022
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Commonsenseqa 2.0: Exposing the limits of ai through gamification
Talmor, A.; Yoran, O.; Bras, R. L.; Bhagavatula, C.; Goldberg, Y.; Choi, Y.; and Berant, J. 2022 · 2022
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Lamda: Language models for dialog applications
Thoppilan, R.; De Freitas, D.; Hall, J.; Shazeer, N.; Kulshreshtha, A.; Cheng, H.-T.; Jin, A.; Bos, T.; Baker, L.; Du, Y.; et al. 2022 · 2022
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Context-and Sentiment-Aware Networks for Emotion Recognition in Conversation
Tu, G.; Wen, J.; Liu, C.; Jiang, D.; and Cambria, E. 2022 · 2022
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Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation
Varshney, D.; Prabhakar, A.; and Ekbal, A. 2022 · 2022
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A Commonsense Knowledge Enhanced Network with Retrospective Loss for Emotion Recognition in Spoken Dialog
Xie, Y.; Sun, C.; and Ji, Z. 2022 · 2022
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Open-Domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion
Xu, F.; Zhou, S.; Ma, Y.; Wang, X.; Zhang, W.; and Li, Z. 2022 · 2022
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Opt: Open pre-trained transformer language models
Zhang, S.; Roller, S.; Goyal, N.; Artetxe, M.; Chen, M.; Chen, S.; Dewan, C.; Diab, M.; Li, X.; Lin, X. V.; et al. 2022 · 2022
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The moral integrity corpus: A benchmark for ethical dialogue systems
Ziems, C.; Yu, J. A.; Wang, Y.-C.; Halevy, A.; and Yang, D. 2022 · 2022
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