Cunguang Wang — accepted AI-conference papers

2023

Learning to Build Reasoning Chains by Reliable Path Retrieval

Minjun Zhu, Yixuan Weng, Shizhu He, Cunguang Wang, Kang Liu, Li Cai +1

ICASSP 2023accepted

Question answering (QA) systems have long pursued the ability to reason over explicit knowledge credibly. Recent work has incorporated knowledge into fine-grained sentences and constructed natural language database (NLDB) task, and conducts complex QA with explicit reasoning chains. Existing models…

Cited by 0 Source ↗Scholar ↗

2023

Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs

Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao

EMNLP 2023long findings

Complex Query Answering (CQA) is a challenge task of Knowledge Graph (KG). Due to the incompleteness of KGs, query embedding (QE) methods have been proposed to encode queries and entities into the same embedding space, and treat logical operators as neural set operators to obtain answers. However, t…

Cited by 0 Source ↗code ↗Scholar ↗