KtrlF

Official repository for "KTRL+F: Knowledge-Augmented In-Document Search"

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. This task addresses following unique challenges for in-document search: 1) utilizing knowledge outside the document for extended use of additional information about targets to bridge the semantic gap between the query and the targets, and 2) balancing between real-time applicability with the performance.

Ktrl+F Dataset Construction Pipeline

In the absence of suitable benchmarks for evaluating the KTRL+F, we introduce a data construction pipeline that aims to collect sets of key components for KTRL+F: input document, query, corresponding targets, and external knowledge. Full pipeline codes are under ktrlf_dataset_pipeline.

Dataset will be uploaded soon.

Ktrl+F plugin

We release Chrome Extension Plugin built on our model under ktrlf_plugin folder.

Citation

Please cite if you use the data or code in this repo.

@article{oh2023ktlrf,
  title={KTRL+F: Knowledge-Augmented In-Document Search},
  author={Oh, Hanseok and Shin, Haebin and Ko, Miyoung and Lee, Hyunji and Seo, Minjoon},
  journal={arXiv preprint arXiv:2311.08329},
  year={2023}
}