Tag: Query Auto Completion

Subword Language Model for Query Auto-Completion (EMNLP-IJCNLP 2019)

Gyuwan Kim arXiv Github Motivations to Faster Neural Query Auto-Completion When browsing on search engines, such as NAVER, users type in the information which they want to look for. Query auto-completion (QAC) suggests most likely completion candidates when a user enters the input. It is one of the essential features of search engines. In this […]