Question answering system for chemistry—A semantic agent extension
This paper introduces an extension of a previously developed question answering (QA) system for chemistry, operating on a knowledge graph (KG) called Marie. This extension enables the automatic invocation of semantic agents to answer questions when static data is absent from the KG. The agents are s...
Main Authors: | Xiaochi Zhou, Daniel Nurkowski, Angiras Menon, Jethro Akroyd, Sebastian Mosbach, Markus Kraft |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-06-01
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Series: | Digital Chemical Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772508122000230 |
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