Transformer-based Natural Language Understanding and Generation
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[1] Alex Marin,et al. Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling , 2021, EACL.
[2] David Vandyke,et al. A Generative Model for Joint Natural Language Understanding and Generation , 2020, ACL.
[3] Verena Rieser,et al. Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge , 2019, Comput. Speech Lang..
[4] Verena Rieser,et al. The E2E Dataset: New Challenges For End-to-End Generation , 2017, SIGDIAL Conference.
[5] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[6] Houfeng Wang,et al. A Joint Model of Intent Determination and Slot Filling for Spoken Language Understanding , 2016, IJCAI.
[7] Tsung-Hsien Wen,et al. Neural Belief Tracker: Data-Driven Dialogue State Tracking , 2016, ACL.
[8] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[9] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[10] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[11] Andrew Chou,et al. Semantic Parsing on Freebase from Question-Answer Pairs , 2013, EMNLP.
[12] Philipp Koehn,et al. Abstract Meaning Representation for Sembanking , 2013, LAW@ACL.
[13] Marilyn A. Walker,et al. Trainable Sentence Planning for Complex Information Presentations in Spoken Dialog Systems , 2004, ACL.
[14] S. Hochreiter,et al. Long Short-Term Memory , 1997, Neural Computation.
[15] Dong-Hyun Lee,et al. Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks , 2013 .
[16] Chris Mellish,et al. Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04) , 2004, ACL 2004.