An Information Retrieval-Based Joint System for Complex Chinese Knowledge Graph Question Answering

نویسندگان

چکیده

Knowledge graph-based question answering is an intelligent approach to deducing the answer a natural language from structured knowledge graph information. As one of mainstream approaches, information retrieval-based methods infer correct by constructing and ranking candidate paths, which achieve excellent performance in simple questions but struggle handle complex due rich entity diverse relations. In this paper, we construct joint system with three subsystems based on retrieval methods, where paths can be efficiently generated ranked, new text-matching method introduced capture semantic correlation between paths. Results experiment conducted China Conference Graph Semantic Computing 2019 Chinese Base Question Answering dataset verify superiority efficiency our approach.

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ژورنال

عنوان ژورنال: Electronics

سال: 2022

ISSN: ['2079-9292']

DOI: https://doi.org/10.3390/electronics11193214