Mining Domain-specific Component-Action Links for Technical Support Documents

CODS-COMAD 2021: PROCEEDINGS OF THE 3RD ACM INDIA JOINT INTERNATIONAL CONFERENCE ON DATA SCIENCE & MANAGEMENT OF DATA (8TH ACM IKDD CODS & 26TH COMAD)(2021)

引用 1|浏览1
暂无评分
摘要
IT service support data such as user queries, resolutions done by agents, technical documents are very complex. It is very important to accurately identify the key components and the actions performed on them to better assist applications, such as knowledge extraction and ingestion, search, query, and support chat-bots. Extracting components and correctly linking them to the required actions would also benefit the problem remediation process by drastically reducing the time to resolve and helping the engineers to focus on the steps or section of the document that are relevant and needed to solve the issue. In this paper, we evaluate the performance of four approaches to establish links between mentioned components and actions on technical support documents.
更多
查看译文
关键词
Semantic Parsing, Unsupervised Learning, Component-Action Links
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要