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KTRL+F: Knowledge-Augmented In-Document Search
April 19, 2024, 4:47 a.m. | Hanseok Oh, Haebin Shin, Miyoung Ko, Hyunji Lee, Minjoon Seo
cs.CL updates on arXiv.org arxiv.org
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
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