Seuraa
Semih Yavuz
Semih Yavuz
Salesforce Research
Vahvistettu sähköpostiosoite verkkotunnuksessa salesforce.com
Nimike
Viittaukset
Viittaukset
Vuosi
A simple language model for task-oriented dialogue
E Hosseini-Asl, B McCann, CS Wu, S Yavuz, R Socher
NeurIPS 2020, 2020
2062020
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
1422019
Taskmaster-1: Toward a realistic and diverse dialog dataset
B Byrne, K Krishnamoorthi, C Sankar, A Neelakantan, D Duckworth, ...
EMNLP 2019 [arXiv preprint arXiv:1909.05358], 2019
1222019
Monotonic infinite lookback attention for simultaneous machine translation
N Arivazhagan, C Cherry, W Macherey, CC Chiu, S Yavuz, R Pang, W Li, ...
ACL 2019 [arXiv preprint arXiv:1906.05218], 2019
1192019
Deepcopy: Grounded response generation with hierarchical pointer networks
S Yavuz, A Rastogi, GL Chao, D Hakkani-Tur
SIGDial 2019 [arXiv preprint arXiv:1908.10731], 2019
702019
Dialsql: Dialogue based structured query generation
I Gür, S Yavuz, Y Su, X Yan
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
562018
Improving semantic parsing via answer type inference
S Yavuz, I Gür, Y Su, M Srivatsa, X Yan
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
542016
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
S Li*, S Yavuz*, K Hashimoto, J Li, T Niu, N Rajani, X Yan, Y Zhou, ...
ICLR 2021 [arXiv preprint arXiv:2010.12850], 2021
342021
Global relation embedding for relation extraction
Y Su, H Liu, S Yavuz, I Gur, H Sun, X Yan
NAACL 2018 [arXiv preprint arXiv:1704.05958], 2017
312017
What it takes to achieve 100% condition accuracy on WikiSQL
S Yavuz, I Gür, Y Su, X Yan
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
232018
Neural assistant: Joint action prediction, response generation, and latent knowledge reasoning
A Neelakantan*, S Yavuz*, S Narang*, V Prasad, B Goodrich, ...
NeurIPS 2019, 3rd Conversational AI workshop [arXiv preprint arXiv:1910.14613], 2019
122019
Recovering question answering errors via query revision
S Yavuz, I Gür, Y Su, X Yan
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
92017
Unsupervised paraphrase generation via dynamic blocking
T Niu, S Yavuz, Y Zhou, H Wang, NS Keskar, C Xiong
arXiv preprint arXiv:2010.12885, 2020
82020
Hiercon: Hierarchical organization of technical documents based on concepts
K Li, S Li, S Yavuz, H Zha, Y Su, X Yan
2019 IEEE International Conference on Data Mining (ICDM), 379-388, 2019
72019
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
X Ye, S Yavuz, K Hashimoto, Y Zhou, C Xiong
ACL 2022 [arXiv preprint arXiv:2109.08678], 2021
62021
CaLcs: Continuously approximating longest common subsequence for sequence level optimization
S Yavuz, CC Chiu, P Nguyen, Y Wu
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
52018
Choose your qa model wisely: A systematic study of generative and extractive readers for question answering
M Luo, K Hashimoto, S Yavuz, Z Liu, C Baral, Y Zhou
arXiv preprint arXiv:2203.07522, 2022
42022
Learning question-guided video representation for multi-turn video question answering
GL Chao, A Rastogi, S Yavuz, D Hakkani-Tür, J Chen, I Lane
SIGDial 2019 [arXiv preprint arXiv:1907.13280], 2019
42019
Stage-wise Fine-tuning for Graph-to-Text Generation
Q Wang, S Yavuz, V Lin, H Ji, N Rajani
arXiv preprint arXiv:2105.08021, 2021
22021
Simple data augmentation with the mask token improves domain adaptation for dialog act tagging
S Yavuz, K Hashimoto, W Liu, NS Keskar, R Socher, C Xiong
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
22020
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