@inproceedings{0b3311824d3546ba947942c106eea8ab,
title = "Operation Diagnosis on Procedure Graph: The Task and Dataset",
abstract = "Users usually consult the manufacturers or the internet when they encounter operation questions with an electronics product. In this paper, we explore to represent an operation question as a procedure graph and formulate the problem of operation diagnosis as two sub-tasks, namely error node detection, and correction, on top of the graph. We construct the first benchmark for this task and propose a transformer-based model to integrate external knowledge and context information to enhance the performance. Experimental results show the effectiveness of our proposed model.",
keywords = "datasets, error detection, knowledge graph, neural networks",
author = "Ruipu Luo and Qi Zhu and Qin Chen and Siyuan Wang and Zhongyu Wei and Weijian Sun and Shuang Tang",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 30th ACM International Conference on Information and Knowledge Management, CIKM 2021 ; Conference date: 01-11-2021 Through 05-11-2021",
year = "2021",
month = oct,
day = "30",
doi = "10.1145/3459637.3482157",
language = "英语",
series = "International Conference on Information and Knowledge Management, Proceedings",
publisher = "Association for Computing Machinery",
pages = "3288--3292",
booktitle = "CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management",
address = "美国",
}