Question answering system for chemistry—A semantic agent extension-Reference-Cited by-同舟云学术

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Question answering system for chemistry—A semantic agent extension

Published:2022-06 Issue: Volume:3 Page:100032
ISSN:2772-5081
Container-title:Digital Chemical Engineering
language:en
Short-container-title:Digital Chemical Engineering

Author:

Zhou Xiaochi,Nurkowski Daniel,Menon Angiras,Akroyd Jethro,Mosbach Sebastian,Kraft Markus^ORCID

Publisher

Elsevier BV

Reference40 articles.

1. From platform to knowledge graph: evolution of laboratory automation;Bai;JACS Au,2022

2. Semantic web;Berners-Lee;Sci. Am.,2001

3. Linked data - the story so far;Bizer;Int. J. Semant. Web Inf. Syst.,2009

4. Question answering with subgraph embeddings;Bordes,2014

5. Question answering systems: survey and trends;Bouziane;Procedia Comput. Sci.,2015

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1. Dynamic knowledge graph approach for modelling the decarbonisation of power systems;Energy and AI;2024-09

2. Leveraging Text-to-Text Pretrained Language Models for Question Answering in Chemistry;ACS Omega;2024-03-12

3. Comparative Analysis of Transformer-Based Method In A Question Answering System for Campus Orientation Guides;INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi;2024-02-10

4. Chemical Species Ontology for Data Integration and Knowledge Discovery;Journal of Chemical Information and Modeling;2023-10-26

5. Marie and BERT─A Knowledge Graph Embedding Based Question Answering System for Chemistry;ACS Omega;2023-08-25

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