A Semi-Automatic Annotation Interface for Named Entity and Relation Annotation on Document Images

Akpinar, Mehmet Yasin; Oral, Berke; Engin, Deniz; Emekligil, Erdem; Arslan, Secil; Eryiğit, Gülşen

doi:10.1109/ubmk.2019.8907209

Cited by 3 publications

(1 citation statement)

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“…C xekinel et al [19] recognised named entities in news texts using the CRF method. Akpnar et al [20] proposed a tool that enables semi-automatic tagging of entities and their relationships, based on bank transactions in image format. All these works are related to Turkish NER tasks on modern documents.…”

Section: Introductionmentioning

confidence: 99%

Searchable Turkish OCRed historical newspaper collection 1928–1942

Menhour

Şahin

Sarıkaya

et al. 2021

Journal of Information Science

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The newspaper emerged as a distinct cultural form in early 17th-century Europe. It is bound up with the early modern period of history. Historical newspapers are of utmost importance to nations and its people, and researchers from different disciplines rely on these papers to improve our understanding of the past. In pursuit of satisfying this need, Istanbul University Head Office of Library and Documentation provides access to a big database of scanned historical newspapers. To take it another step further and make the documents more accessible, we need to run optical character recognition (OCR) and named entity recognition (NER) tasks on the whole database and index the results to allow for full-text search mechanism. We design and implement a system encompassing the whole pipeline starting from scrapping the dataset from the original website to providing a graphical user interface to run search queries, and it manages to do that successfully. Proposed system provides to search people, culture and security-related keywords and to visualise them.

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Section: Introductionmentioning

confidence: 99%