Fetching the paper…
Reading the bibliography…
In multi-turn dialog, utterances do not always take the full form of sentences \cite{Carbonell1983DiscoursePA}, which naturally makes understanding the dialog context more difficult.
DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs
Dua, D.; Wang, Y.; Dasigi, P.; Stanovsky, G.; Singh, S.; and Gardner, M. 2019 · 1903
Earlier work this paper cites.
Cosmos qa: Machine reading comprehension with contextual commonsense reasoning
Huang, L.; Bras, R. L.; Bhagavatula, C.; and Choi, Y. 2019 · 1909
Earlier work this paper cites.
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
Earlier work this paper cites.
Discourse Pragmatics and Ellipsis Resolution in Task-Oriented Natural Language Interfaces
Carbonell, J. 1983 · 1983
Earlier work this paper cites.
Multitask learning
Caruana, R. 1997 · 1997
Earlier work this paper cites.
Towards a human-like open-domain chatbot
Adiwardana, D.; Luong, M.-T.; So, D. R.; Hall, J.; Fiedel, N.; Thoppilan, R.; Yang, Z.; Kulshreshtha, A.; Nemade, G.; Lu, Y.; et al. 2020 · 2001
Earlier work this paper cites.
BLEU: a method for automatic evaluation of machine translation
Papineni, K.; Roukos, S.; Ward, T.; and Zhu, W.-J. 2002 · 2002
Earlier work this paper cites.
A unified architecture for natural language processing: Deep neural networks with multitask learning
Collobert, R.; and Weston, J. 2008 · 2008
Earlier work this paper cites.
Vector-based models of semantic composition
Mitchell, J.; and Lapata, M. 2008 · 2008
Earlier work this paper cites.
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Duchi, J. C.; Hazan, E.; and Singer, Y. 2010 · 2010
Earlier work this paper cites.
A transition-based system for joint part-of-speech tagging and labeled non-projective dependency parsing
Bohnet, B.; and Nivre, J. 2012 · 2012
Earlier work this paper cites.
Incremental joint approach to word segmentation, POS tagging, and dependency parsing in Chinese
Hatori, J.; Matsuzaki, T.; Miyao, Y.; and Tsujii, J. 2012 · 2012
Earlier work this paper cites.
Joint optimization for Chinese pos tagging and dependency parsing
Li, Z.; Zhang, M.; Che, W.; Liu, T.; and Chen, W. 2013 · 2013
Earlier work this paper cites.
On the difficulty of training recurrent neural networks
Pascanu, R.; Mikolov, T.; and Bengio, Y. 2013 · 2013
Earlier work this paper cites.
Bootstrapping dialog systems with word embeddings
Forgues, G.; Pineau, J.; Larchevêque, J.-M.; and Tremblay, R. 2014 · 2014
Earlier work this paper cites.
Representation learning using multi-task deep neural networks for semantic classification and information retrieval
Liu, X.; Gao, J.; He, X.; Deng, L.; Duh, K.; and Wang, Y.-Y. 2015 · 2015
Earlier work this paper cites.
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
Earlier work this paper cites.
End-To-End Memory Networks
Sukhbaatar, S.; Szlam, A.; Weston, J.; and Fergus, R. 2015 · 2015
Earlier work this paper cites.
TensorFlow: A System for Large-Scale Machine Learning
Abadi, M.; Barham, P.; Chen, J.; Chen, Z.; Davis, A.; Dean, J.; Devin, M.; Ghemawat, S.; Irving, G.; Isard, M.; Kudlur, M.; Levenberg, J.; Monga, R.; Moore, S.; Murray, D. G.; Steiner, B.; Tucker, P. A.; Vasudevan, V.; Warden, P.; Wicke, M.; Yu, Y.; and Zhang, X. 2016 · 2016
Earlier work this paper cites.
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Kumar, A.; Irsoy, O.; Ondruska, P.; Iyyer, M.; Bradbury, J.; Gulrajani, I.; Zhong, V.; Paulus, R.; and Socher, R. 2016 · 2016
Cited alongside, same era.
Recurrent neural network for text classification with multi-task learning
Liu, P.; Qiu, X.; and Huang, X. 2016 · 2016
Cited alongside, same era.
SQuAD: 100, 000+ Questions for Machine Comprehension of Text
Rajpurkar, P.; Zhang, J.; Lopyrev, K.; and Liang, P. 2016 · 2016
Cited alongside, same era.
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
Serban, I.; Sordoni, A.; Bengio, Y.; Courville, A. C.; and Pineau, J. 2016 · 2016
Cited alongside, same era.
Conceptnet 5.5: An open multilingual graph of general knowledge
Speer, R.; Chin, J.; and Havasi, C. 2016 · 2016
Cited alongside, same era.
Personalizing dialogue agents: I have a dog, do you have pets too?
Zhang, S.; Dinan, E.; Urbanek, J.; Szlam, A.; Kiela, D.; and Weston, J. 2018 · 2018
Later among the works it cites.
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation
Chan, Z.; Chen, X.; Wang, Y.; Li, J.; Zhang, Z.; Gai, K.; Zhao, D.; and Yan, R. 2019 · 2019
Later among the works it cites.
Learning towards Abstractive Timeline Summarization
Chen, X.; Chan, Z.; Gao, S.; Yu, M.-H.; Zhao, D.; and Yan, R. 2019 · 2019
Later among the works it cites.
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Gu, X.; Cho, K.; Ha, J.-W.; and Kim, S. 2019 · 2019
Later among the works it cites.
Insufficient data can also rock! learning to converse using smaller data with augmentation
Li, J.; Qiu, L.; Tang, B.; Chen, D.; Zhao, D.; and Yan, R. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Dynamic Memory Networks for Visual and Textual Question Answering
Xiong, C.; Merity, S.; and Socher, R. 2016 · 2016
Cited alongside, same era.
Learning End-to-End Goal-Oriented Dialog
Bordes, A.; and Weston, J. 2017 · 2017
Cited alongside, same era.
Coarse-to-fine question answering for long documents
Choi, E.; Hewlett, D.; Uszkoreit, J.; Polosukhin, I.; Lacoste, A.; and Berant, J. 2017 · 2017
Cited alongside, same era.
Fusionnet: Fusing via fully-aware attention with application to machine comprehension
Huang, H.-Y.; Zhu, C.; Shen, Y.; and Chen, W. 2017 · 2017
Cited alongside, same era.
Get To The Point: Summarization with Pointer-Generator Networks
See, A.; Liu, P. J.; and Manning, C. D. 2017 · 2017
Cited alongside, same era.
Query-Reduction Networks for Question Answering
Seo, M.; Min, S.; Farhadi, A.; and Hajishirzi, H. 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.
Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration
Pan, Z.; Wang, Y.; Bai, K.; Zhou, L.; and Liu, X. 2019 · 2019
Later among the works it cites.
Are training samples correlated? learning to generate dialogue responses with multiple references
Qiu, L.; Li, J.; Bi, W.; Zhao, D.; and Yan, R. 2019 · 2019
Later among the works it cites.
Coqa: A conversational question answering challenge
Reddy, S.; Chen, D.; and Manning, C. D. 2019 · 2019
Later among the works it cites.
One time of interaction may not be enough: Go deep with an interaction-over-interaction network for response selection in dialogues
Tao, C.; Wu, W.; Xu, C.; Hu, W.; Zhao, D.; and Yan, R. 2019 · 2019
Later among the works it cites.
Selection and Generation: Learning towards Multi-Product Advertisement Post Generation
Chan, Z.; Zhang, Y.; Chen, X.; Gao, S.; Zhang, Z.; Zhao, D.; and Yan, R. 2020 · 2020
Closest in time.
Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog
Gao, S.; Chen, X.; Liu, C.; Liu, L.; Zhao, D.; and Yan, R. 2020a · 2020
Closest in time.
VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles
Li, M.; Chen, X.; Gao, S.; Chan, Z.; Zhao, D.; and Yan, R. 2020 · 2020
Closest in time.
A Character-Centric Neural Model for Automated Story Generation
Liu, D.; Li, J.; Yu, M.-H.; Huang, Z.; Liu, G.; Zhao, D.; and Yan, R. 2020 · 2020
Closest in time.
Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism
Xie, P.; Cui, Z.; Chen, X.; Hu, X.; Cui, J.; and Wang, B. 2020 · 2020
Closest in time.
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues
Xu, R.; Tao, C.; Jiang, D.; Zhao, X.; Zhao, D.; and Yan, R. 2020 · 2020
Closest in time.
Draft and edit: Automatic storytelling through multi-pass hierarchical conditional variational autoencoder
Yu, M.-H.; Li, J.; Liu, D.; Zhao, D.; Yan, R.; Tang, B.; and Zhang, H. 2020 · 2020
Closest in time.
The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement
Li, M.; Chen, X.; Yang, M.; Gao, S.; Zhao, D.; and Yan, R. 2021 · 2021
Closest in time.
Writing Polishment with Simile: Task, Dataset and A Neural Approach
Zhang, J.; Cui, Z.; Xia, X.; Guo, Y.; Li, Y.; Wei, C.; and Cui, J. 2021 · 2021
Closest in time.