Fetching the paper…
Reading the bibliography…
Language understanding in speech-based systems have attracted much attention in recent years with the growing demand for voice interface applications.
Evaluation of spoken language systems: The atis domain
Price, P · 1990
Earlier work this paper cites.
The pascal recognising textual entailment challenge
Dagan, I., O. Glickman, B. Magnini · 2005
Earlier work this paper cites.
The second pascal recognising textual entailment challenge
Haim, R. B., I. Dagan, B. Dolan, et al · 2006
Earlier work this paper cites.
Room impulse response generator
Habets, E. A · 2006
Earlier work this paper cites.
Partially observable markov decision processes for spoken dialog systems
Williams, J. D., S. Young · 2007
Earlier work this paper cites.
The third pascal recognizing textual entailment challenge
Giampiccolo, D., B. Magnini, I. Dagan, et al · 2007
Earlier work this paper cites.
The fifth pascal recognizing textual entailment challenge
Bentivogli, L., P. Clark, I. Dagan, et al · 2009
Earlier work this paper cites.
Distant speech recognition
Wölfel, M., J. McDonough · 2009
Earlier work this paper cites.
The kaldi speech recognition toolkit
Povey, D., A. Ghoshal, G. Boulianne, et al · 2011
Earlier work this paper cites.
Recursive deep models for semantic compositionality over a sentiment treebank
Socher, R., A. Perelygin, J. Wu, et al · 2013
Earlier work this paper cites.
The second dialog state tracking challenge
Henderson, M., B. Thomson, J. D. Williams · 2014
Earlier work this paper cites.
Squad: 100,000+ questions for machine comprehension of text
Rajpurkar, P., J. Zhang, K. Lopyrev, et al · 2016
Earlier work this paper cites.
Purely sequence-trained neural networks for asr based on lattice-free mmi
Povey, D., V. Peddinti, D. Galvez, et al · 2016
Earlier work this paper cites.
Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation
Cer, D., M. Diab, E. Agirre, et al · 2017
Earlier work this paper cites.
A study on data augmentation of reverberant speech for robust speech recognition
Ko, T., V. Peddinti, D. Povey, et al · 2017
Cited alongside, same era.
Towards deep learning models resistant to adversarial attacks
Madry, A., A. Makelov, L. Schmidt, et al · 2017
Cited alongside, same era.
On modelling uncertainty in neural language generation for policy optimisation in voice-triggered dialog assistants
Wang, S., T. Gunter, D. VanDyke · 2018
Cited alongside, same era.
Towards end-to-end spoken language understanding
Serdyuk, D., Y. Wang, C. Fuegen, et al · 2018
Cited alongside, same era.
Automatic speech recognition errors detection and correction: A review
Errattahi, R., A. El Hannani, H. Ouahmane · 2018
Cited alongside, same era.
Albert: A lite bert for self-supervised learning of language representations
Lan, Z., M. Chen, S. Goodman, et al · 2019
Later among the works it cites.
Xlnet: Generalized autoregressive pretraining for language understanding
Yang, Z., Z. Dai, Y. Yang, et al · 2019
Later among the works it cites.
Speech model pre-training for end-to-end spoken language understanding
Lugosch, L., M. Ravanelli, P. Ignoto, et al · 2019
Later among the works it cites.
Adversarial nli: A new benchmark for natural language understanding
Nie, Y., A. Williams, E. Dinan, et al · 2019
Later among the works it cites.
Freelb: Enhanced adversarial training for natural language understanding
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Schumann, R., P. Angkititrakul · 2018
Cited alongside, same era.
Glue: A multi-task benchmark and analysis platform for natural language understanding
Wang, A., A. Singh, J. Michael, et al · 2018
Cited alongside, same era.
Scitail: A textual entailment dataset from science question answering
Khot, T., A. Sabharwal, P. Clark · 2018
Cited alongside, same era.
The fifth’chime’speech separation and recognition challenge: dataset, task and baselines
Barker, J., S. Watanabe, E. Vincent, et al · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., M.-W. Chang, K. Lee, et al · 2018
Cited alongside, same era.
Coucke, A., A. Saade, A. Ball, et al · 2018
Cited alongside, same era.
Generating natural adversarial examples
Zhao, Z., D. Dua, S. Singh · 2018
Cited alongside, same era.
Zhu, C., Y. Cheng, Z. Gan, et al · 2019
Later among the works it cites.
Data augmentation for training dialog models robust to speech recognition errors
Wang, L., M. Fazel-Zarandi, A. Tiwari, et al · 2020
Later among the works it cites.
Large-scale unsupervised pre-training for end-to-end spoken language understanding
Wang, P., L. Wei, Y. Cao, et al · 2020
Later among the works it cites.
Joint contextual modeling for asr correction and language understanding
Weng, Y., S. S. Miryala, C. Khatri, et al · 2020
Later among the works it cites.
Speech to semantics: Improve asr and nlu jointly via all-neural interfaces
Rao, M., A. Raju, P. Dheram, et al · 2020
Later among the works it cites.
Learning asr-robust contextualized embeddings for spoken language understanding
Huang, C.-W., Y.-N. Chen · 2020
Later among the works it cites.
Raddle: An evaluation benchmark and analysis platform for robust task-oriented dialog systems
Peng, B., C. Li, Z. Zhang, et al · 2020
Later among the works it cites.
Is bert really robust? a strong baseline for natural language attack on text classification and entailment
Jin, D., Z. Jin, J. T. Zhou, et al · 2020
Later among the works it cites.
Towards robustness against natural language word substitutions
Dong, X., A. T. Luu, R. Ji, et al · 2021
Closest in time.