2 citations · 3 across the 4 of their papers we have counts for
4 papers
ADMUS: A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources
Yirui Zhan, Yanzeng Li, Minhao Zhang +1
With the introduction of deep learning models, semantic parsingbased knowledge base question answering (KBQA) systems have achieved high performance in handling complex questions.…
Efficient Execution of SPARQL Queries with OPTIONAL and UNION Expressions
Lei Zou, Yue Pang, M. Tamer Özsu +1
The proliferation of RDF datasets has resulted in studies focusing on optimizing SPARQL query processing. Most existing work focuses on basic graph patterns (BGPs) and ignores othe…
TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT
Bing Zhou, Lei Zou, Yingjie Hu +2
Extracting precise geographical information from textual contents is crucial in a plethora of applications. For example, during hazardous events, a robust and unbiased toponym extr…
Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base
Minhao Zhang, Ruoyu Zhang, Yanzeng Li +1
Semantic parsing solves knowledge base (KB) question answering (KBQA) by composing a KB query, which generally involves node extraction (NE) and graph composition (GC) to detect an…