118 citations · 282 across the 23 of their papers we have counts for
6 papers · 1 filter
Revealing Secrets in SPARQL Session Level
Xinyue Zhang, Meng Wang, Muhammad Saleem +3
Based on Semantic Web technologies, knowledge graphs help users to discover information of interest by using live SPARQL services. Answer-seekers often examine intermediate results…
Less is More: Data-Efficient Complex Question Answering over Knowledge Bases
Yuncheng Hua, Yuan-Fang Li, Guilin Qi +3
Question answering is an effective method for obtaining information from knowledge bases (KB). In this paper, we propose the Neural-Symbolic Complex Question Answering (NS-CQA) mod…
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari +2
Complex question-answering (CQA) involves answering complex natural-language questions on a knowledge base (KB). However, the conventional neural program induction (NPI) approach e…
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases
Sheng Bi, Xiya Cheng, Yuan-Fang Li +2
Question generation over knowledge bases (KBQG) aims at generating natural-language questions about a subgraph, i.e. a set of (connected) triples. Two main challenges still face th…
Knowledge-aware Method for Confusing Charge Prediction
Xiya Cheng, Sheng Bi, Guilin Qi +1
Automatic charge prediction task aims to determine the final charges based on fact descriptions of criminal cases, which is a vital application of legal assistant systems. Conventi…
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Xianpei Han, Zhichun Wang, Jiangtao Zhang +22
Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks. CCKS 2019 held an evaluation…