Search Results for author: Minhao Zhang

Found 6 papers, 1 papers with code

ADMUS: A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources

no code implementations9 Aug 2023 Yirui Zhan, Yanzeng Li, Minhao Zhang, Lei Zou

With the introduction of deep learning models, semantic parsingbased knowledge base question answering (KBQA) systems have achieved high performance in handling complex questions.

Knowledge Base Question Answering

Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base

1 code implementation Findings (NAACL) 2022 Minhao Zhang, Ruoyu Zhang, Yanzeng Li, Lei Zou

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 and connect related nodes in a query.

Question Answering Relation Extraction +1

NAMER: A Node-Based Multitasking Framework for Multi-Hop Knowledge Base Question Answering

no code implementations NAACL 2021 Minhao Zhang, Ruoyu Zhang, Lei Zou, Yinnian Lin, Sen Hu

We present NAMER, an open-domain Chinese knowledge base question answering system based on a novel node-based framework that better grasps the structural mapping between questions and KB queries by aligning the nodes in a query with their corresponding mentions in question.

Data Augmentation Knowledge Base Question Answering

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