作者
Hang Li, Bevan Koopman, Ahmed Mourad, Guido Zuccon
发表日期
2023/2/27
图书
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
页码范围
1140-1143
简介
While large amounts of potentially useful agricultural resources (journal articles, manuals, reports) are available, their value cannot be realised if they cannot be easily searched and presented to the agriculture users in a digestible form.AgAsk is a conversational search system for the agricultural domain, providing tailored answers to growers questions. AgAsk is underpinned by an efficient and effective neural passage ranking model fine-tuned on real world growers' questions. An adaptable, messaging-style user interface is deployed via the Telegram messaging platform, allowing users to ask natural language questions via text or voice, and receive short natural language answers as replies.
AgAsk is empirically evaluated on an agricultural passage retrieval test collection. The system provides a single entry point to access the information needed for better growing decisions. Much of the system is domain agnostic …
学术搜索中的文章
H Li, B Koopman, A Mourad, G Zuccon - Proceedings of the Sixteenth ACM International …, 2023