KTRL+F: Knowledge-Augmented In-Document Search

arXiv:2311.08329v4 Announce Type: replace
Abstract: We introduce a new problem KTRL+F, a knowledge-augmented in-document search task that necessitates real-time identification of all semantic targets within a document with the awareness of external sources through a single natural query. KTRL+F addresses following unique challenges for in-document search: 1)utilizing knowledge outside the document for extended use of additional information about targets, and 2) balancing between real-time applicability with the performance. We analyze various baselines in KTRL+F and find limitations of existing models, …

abstract arxiv challenges cs.cl document identification knowledge natural query real-time search semantic targets through type unique