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Yinggong Zhao
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2020 – today
- 2022
- [c17]Yilin Zhao, Hai Zhao, Libin Shen, Yinggong Zhao:
Lite Unified Modeling for Discriminative Reading Comprehension. ACL (1) 2022: 8682-8695 - [i2]Yilin Zhao, Hai Zhao, Libin Shen, Yinggong Zhao:
Lite Unified Modeling for Discriminative Reading Comprehension. CoRR abs/2203.14103 (2022) - 2021
- [c16]Jiawei Wang, Hai Zhao, Yinggong Zhao, Libin Shen:
What If Sentence-hood is Hard to Define: A Case Study in Chinese Reading Comprehension. EMNLP (Findings) 2021: 2348-2359 - 2020
- [c15]Yawen Ouyang, Moxin Chen, Xinyu Dai, Yinggong Zhao, Shujian Huang, Jiajun Chen:
Dialogue State Tracking with Explicit Slot Connection Modeling. ACL 2020: 34-40 - [c14]Xiaoqing Geng, Xiwen Chen, Kenny Q. Zhu, Libin Shen, Yinggong Zhao:
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data. CIKM 2020: 415-424 - [c13]Shanshan Huang, Kenny Q. Zhu, Qianzi Liao, Libin Shen, Yinggong Zhao:
Enhanced Story Representation by ConceptNet for Predicting Story Endings. CIKM 2020: 3277-3280 - [c12]Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu:
Learning Numeral Embedding. EMNLP (Findings) 2020: 2586-2599 - [c11]Chengyue Jiang, Yinggong Zhao, Shanbo Chu, Libin Shen, Kewei Tu:
Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks. EMNLP (1) 2020: 3193-3207 - [c10]Shengyao Zhang
, Qi Jia
Automatic Classification and Comparison of Words by Difficulty. ICONIP (4) 2020: 635-642 - [i1]Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu:
Learning Numeral Embeddings. CoRR abs/2001.00003 (2020)
2010 – 2019
- 2016
- [j1]Yinggong Zhao, Shujian Huang, Xin-Yu Dai, Jiajun Chen:
Adaptation of Language Models for SMT Using Neural Networks with Topic Information. ACM Trans. Asian Low Resour. Lang. Inf. Process. 15(3): 19:1-19:15 (2016) - 2014
- [c9]Yinggong Zhao, Shujian Huang, Huadong Chen, Jiajun Chen:
An Investigation on Statistical Machine Translation with Neural Language Models. CCL 2014: 175-186 - [c8]Yinggong Zhao, Shujian Huang, Xinyu Dai, Jianbing Zhang, Jiajun Chen:
Learning word embeddings from dependency relations. IALP 2014: 123-127 - 2013
- [c7]Ashish Vaswani, Yinggong Zhao, Victoria Fossum, David Chiang:
Decoding with Large-Scale Neural Language Models Improves Translation. EMNLP 2013: 1387-1392 - 2012
- [c6]Ning Xi, Bin Li, Guangchao Tang, Shujian Huang, Yinggong Zhao, Hao Zhou, Xinyu Dai, Jiajun Chen:
Adapting Conventional Chinese Word Segmenter for Segmenting Micro-blog Text: Combining Rule-based and Statistic-based Approaches. CIPS-SIGHAN 2012: 63-68 - 2011
- [c5]Ning Xi, Guangchao Tang, Boyuan Li, Yinggong Zhao:
Word Alignment Combination over Multiple Word Segmentation. ACL (Student Session) 2011: 1-5 - [c4]Yinggong Zhao, Shujie Liu, Yangsheng Ji, Jiajun Chen, Guodong Zhou:
Transductive Minimum Error Rate Training for Statistical Machine Translation. IJCNLP 2011: 641-648 - [c3]Yinggong Zhao, Yangsheng Ji, Ning Xi, Shujian Huang, Jiajun Chen:
Language Model Weight Adaptation Based on Cross-entropy for Statistical Machine Translation. PACLIC 2011: 20-30 - 2010
- [c2]Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou:
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation. COLING 2010: 662-670 - [c1]Chi-Ho Li, Nan Duan, Yinggong Zhao, Shujie Liu, Lei Cui, Mei-Yuh Hwang, Amittai Axelrod, Jianfeng Gao, Yaodong Zhang, Li Deng:
The MSRA machine translation system for IWSLT 2010. IWSLT 2010: 135-138
Coauthor Index
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