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Xiaocheng Feng
Xiaocheng Feng
ir.hit.edu.cn의 이메일 확인됨 - 홈페이지
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Effective LSTMs for target-dependent sentiment classification
D Tang, B Qin, X Feng, T Liu
arXiv preprint arXiv:1512.01100, 2015
7712015
Codebert: A pre-trained model for programming and natural languages
Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ...
arXiv preprint arXiv:2002.08155, 2020
4192020
A language-independent neural network for event detection
X Feng, B Qin, T Liu
Science China Information Sciences 61 (9), 1-12, 2018
2382018
Target-dependent sentiment classification with long short term memory
D Tang, B Qin, X Feng, T Liu
arXiv preprint arXiv:1512.01100, 2015
1112015
Liberal event extraction and event schema induction
L Huang, T Cassidy, X Feng, H Ji, C Voss, J Han, A Sil
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
992016
Effective Deep Memory Networks for Distant Supervised Relation Extraction.
X Feng, J Guo, B Qin, T Liu, Y Liu
IJCAI 17, 2017
762017
Semantic parsing with syntax-and table-aware sql generation
Y Sun, D Tang, N Duan, J Ji, G Cao, X Feng, B Qin, T Liu, M Zhou
arXiv preprint arXiv:1804.08338, 2018
672018
Topic-to-essay generation with neural networks.
X Feng, M Liu, J Liu, B Qin, Y Sun, T Liu
IJCAI, 4078-4084, 2018
472018
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer.
X Feng, X Feng, B Qin, Z Feng, T Liu
IJCAI 1, 4071-4077, 2018
462018
Table-to-text generation with effective hierarchical encoder on three dimensions (row, column and time)
H Gong, X Feng, B Qin, T Liu
arXiv preprint arXiv:1909.02304, 2019
362019
Joint learning of question answering and question generation
Y Sun, D Tang, N Duan, T Qin, S Liu, Z Yan, M Zhou, Y Lv, W Yin, X Feng, ...
ieee transactions on knowledge and data engineering 32 (5), 971-982, 2019
262019
Adaptive multi-pass decoder for neural machine translation
X Geng, X Feng, B Qin, T Liu
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
252018
Dialogue discourse-aware graph convolutional networks for abstractive meeting summarization
X Feng, X Feng, B Qin, X Geng, T Liu
23*2020
Enhancing neural data-to-text generation models with external background knowledge
S Chen, J Wang, X Feng, F Jiang, B Qin, CY Lin
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
212019
Incorporating commonsense knowledge into abstractive dialogue summarization via heterogeneous graph networks
X Feng, X Feng, B Qin
China National Conference on Chinese Computational Linguistics, 127-142, 2021
182021
Tablegpt: Few-shot table-to-text generation with table structure reconstruction and content matching
H Gong, Y Sun, X Feng, B Qin, W Bi, X Liu, T Liu
Proceedings of the 28th International Conference on Computational …, 2020
172020
A survey on dialogue summarization: Recent advances and new frontiers
X Feng, X Feng, B Qin
arXiv preprint arXiv:2107.03175, 2021
162021
Language model as an annotator: Exploring DialoGPT for dialogue summarization
X Feng, X Feng, L Qin, B Qin, T Liu
arXiv preprint arXiv:2105.12544, 2021
152021
Neural semantic parsing in low-resource settings with back-translation and meta-learning
Y Sun, D Tang, N Duan, Y Gong, X Feng, B Qin, D Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8960-8967, 2020
132020
The factual inconsistency problem in abstractive text summarization: A survey
Y Huang, X Feng, X Feng, B Qin
arXiv preprint arXiv:2104.14839, 2021
112021
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