Общедоступные статьи - Yuanzhe ZhangПодробнее...
2 статьи недоступны нигде
A joint embedding method for entity alignment of knowledge bases
Y Hao, Y Zhang, S He, K Liu, J Zhao
Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big …, 2016
Финансирование: National Natural Science Foundation of China
Question answering over knowledge bases
K Liu, J Zhao, S He, Y Zhang
IEEE Intelligent Systems 30 (5), 26-35, 2015
Финансирование: National Natural Science Foundation of China
17 статей доступны в некоторых источниках
An end-to-end model for question answering over knowledge base with cross-attention combining global knowledge
Y Hao, Y Zhang, K Liu, S He, Z Liu, H Wu, J Zhao
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
Финансирование: National Natural Science Foundation of China
CASIA@ V2: A MLN-based Question Answering System over Linked Data.
S He, Y Zhang, K Liu, J Zhao
CLEF (Working Notes), 1249-1259, 2014
Финансирование: National Natural Science Foundation of China
Machine reading comprehension using structural knowledge graph-aware network
D Qiu, Y Zhang, X Feng, X Liao, W Jiang, Y Lyu, K Liu, J Zhao
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
MIE: A medical information extractor towards medical dialogues
Y Zhang, Z Jiang, T Zhang, S Liu, J Cao, K Liu, S Liu, J Zhao
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
A joint model for question answering over multiple knowledge bases
Y Zhang, S He, K Liu, J Zhao
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Финансирование: National Natural Science Foundation of China
Question answering over linked data using first-order logic
S He, K Liu, Y Zhang, L Xu, J Zhao
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
Финансирование: National Natural Science Foundation of China
Alignment rationale for natural language inference
Z Jiang, Y Zhang, Z Yang, J Zhao, K Liu
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
Scene restoring for narrative machine reading comprehension
Z Tian, Y Zhang, K Liu, J Zhao, Y Jia, Z Sheng
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
Capturing sentence relations for answer sentence selection with multi-perspective graph encoding
Z Tian, Y Zhang, X Feng, W Jiang, Y Lyu, K Liu, J Zhao
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9032-9039, 2020
Финансирование: National Natural Science Foundation of China
Enhancing multiple-choice machine reading comprehension by punishing illogical interpretations
Y Ju, Y Zhang, Z Tian, K Liu, X Cao, W Zhao, J Li, J Zhao
Proceedings of the 2021 conference on empirical methods in natural language …, 2021
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
Biomedical concept normalization by leveraging hypernyms
C Yan, Y Zhang, K Liu, J Zhao, Y Shi, S Liu
Proceedings of the 2021 conference on empirical methods in natural language …, 2021
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
CMQA: a dataset of conditional question answering with multiple-span answers
Y Ju, W Wang, Y Zhang, S Zheng, K Liu, J Zhao
Proceedings of the 29th International Conference on Computational …, 2022
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
Enhancing unsupervised medical entity linking with multi-instance learning
C Yan, Y Zhang, K Liu, J Zhao, Y Shi, S Liu
BMC medical informatics and decision making 21, 1-10, 2021
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
Can we really trust explanations? evaluating the stability of feature attribution explanation methods via adversarial attack
Z Yang, Y Zhang, Z Jiang, Y Ju, J Zhao, K Liu
China National Conference on Chinese Computational Linguistics, 281-297, 2022
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
A Hierarchical Explanation Generation Method Based on Feature Interaction Detection
Y Ju, Y Zhang, K Liu, J Zhao
Findings of the Association for Computational Linguistics: ACL 2023, 12600-12611, 2023
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain
T Zhixing, Z Yuanzhe, L Kang, Z Jun
Proceedings of the 20th Chinese National Conference on Computational …, 2021
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
Reconstructed Option Rereading Network for Opinion Questions Reading Comprehension
D Qiu, L Bao, Z Tian, Y Zhang, K Liu, J Zhao, X Liao
Chinese Computational Linguistics: 18th China National Conference, CCL 2019 …, 2019
Финансирование: Chinese Academy of Sciences, National Natural Science Foundation of China
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