Improving question answering quality through language feature-based SPARQL query candidate validation
Question Answering systems are on the rise and on their way to become one of the standard
user interfaces. However, in conversational user interfaces, the information quantity needs to …
user interfaces. However, in conversational user interfaces, the information quantity needs to …
Crake: Causal-enhanced table-filler for question answering over large scale knowledge base
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 …
KB query, which generally involves node extraction (NE) and graph composition (GC) to …
ADMUS: A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources
With the introduction of deep learning models, semantic parsingbased knowledge base
question answering (KBQA) systems have achieved high performance in handling complex …
question answering (KBQA) systems have achieved high performance in handling complex …
[PDF][PDF] Improving Question Answering Quality Through Language Feature-based SPARQL Query Candidate Validation
A Both - 2022.eswc-conferences.org
Question Answering systems are on the rise and on their way to become one of the standard
user interfaces. However, in conversational user interfaces, the information quantity needs to …
user interfaces. However, in conversational user interfaces, the information quantity needs to …