Knowledge graph construction techniques LY LiuQiao, LY DuanHong Journal of computer research and development 53 (3), 582, 2016 | 419 | 2016 |
知识图谱构建技术综述 刘峤, 李杨, 段宏, 刘瑶, 秦志光 计算机研究与发展 53 (3), 582-600, 2016 | 222 | 2016 |
A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges B Fu, Y Qiu, C Tang, Y Li, H Yu, J Sun arXiv preprint arXiv:2007.13069, 2020 | 88 | 2020 |
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion G Niu, Y Li, C Tang, R Geng, J Dai, Q Liu, H Wang, J Sun, F Huang, L Si arXiv preprint arXiv:2104.13095, 2021 | 69 | 2021 |
Overview of knowledge graph construction technology [J] L Qiao, L Yang, D Hong, L Yao, Q Zhiguang Computer research and development 53 (3), 582-600, 2016 | 22 | 2016 |
MOLI: Smart Conversation Agent for Mobile Customer Service G Zhao, J Zhao, Y Li, C Alt, R Schwarzenberg, L Hennig, S Schaffer, ... Information 10 (2), 63, 2019 | 16 | 2019 |
Question Answering for Technical Customer Support Y Li, Q Miao, J Geng, C Alt, R Schwarzenberg, L Hennig, C Hu, F Xu CCF International Conference on Natural Language Processing and Chinese …, 2018 | 13 | 2018 |
HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources XHJH Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu ... CIKM, 2021 | 9* | 2021 |
Summary of knowledge graph construction technology [J] L Qiao, L Yang, D Hong, L Yao, Q Zhiguang Journal of Computer Research and Development 3, 582-600, 2016 | 9 | 2016 |
Multi-Point Semantic Representation for Intent Classification. J Zhang, Y Ye, Y Zhang, L Qiu, B Fu, Y Li, Z Yang, J Sun AAAI, 9531-9538, 2020 | 7 | 2020 |
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings G Niu, Y Li, C Tang, Z Hu, S Yang, P Li, C Wang, H Wang, J Sun arXiv preprint arXiv:2110.15622, 2021 | 5 | 2021 |
Structure-Discourse Hierarchical Graph for Conditional Question Answering on Long Documents YLDZ Haowei Du, Yansong Feng, Chen Li, Yang Li ACL, 2023 | 4* | 2023 |
When few-shot learning meets large-scale knowledge-enhanced pre-training: Alibaba at FewCLUE Z Xu, C Wang, P Li, Y Li, M Wang, B Hou, M Qiu, C Tang, J Huang CCF International Conference on Natural Language Processing and Chinese …, 2021 | 4 | 2021 |
R Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context Q Tian, H Zhu, L Wang, Y Li, Y Lan arXiv preprint arXiv:2310.16535, 2023 | 3 | 2023 |
Learn from Yesterday: A Semi-Supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams Y Chen, X Guo, T Wu, G Qi, Y Li, Y Dong arXiv preprint arXiv:2211.11226, 2022 | 2 | 2022 |
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling YZYL Hao Sun, Yang Li, Liwei Deng, Bowen Li, Binyuan Hui, Binhua Li, Yunshi Lan ACL, 2023 | 1* | 2023 |
基于图的中文集成实体链接算法 刘峤, 钟云, 李杨, 刘瑶, 秦志光 计算机研究与发展 53 (2), 270-283, 2016 | 1 | 2016 |
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts YL Yunshi Lan MM, 2023 | | 2023 |
CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction LWYP Xinnan Guo, Wentao Deng, Yongrui Chen, Yang Li, Mengdi Zhou, Guilin Qi ... ACL, 2023 | | 2023 |
A Joint Model of Entity Linking and Predicate Recognition for Knowledge Base Question Answering Y Li, Q Miao, CX Yin, C Huo, W Mao, C Hu, F Xu | | 2018 |