Computational Approaches to Digitised Historical Newspapers (Dagstuhl Seminar 22292)
| Autor: | Ehrmann, Maud, Düring, Marten, Neudecker, Clemens, Doucet, Antoine |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
historical document processing
digital scholarship Information systems → Digital libraries and archives Applied computing → Arts and humanities Applied computing → Document management and text processing digital history Information systems → Document structure Information systems → Information retrieval Computing methodologies → Information extraction Information systems → Users and interactive retrieval Computing methodologies → Machine learning document structure and layout analysis Information systems → Structure and multilingual text search Information systems → Data mining information extraction Information systems → Document representation natural language processing |
| Popis: | Historical newspapers are mirrors of past societies, keeping track of the small and great history and reflecting the political, moral, and economic environments in which they were produced. Highly valued as primary sources by historians and humanities scholars, newspaper archives have been massively digitised in libraries, resulting in large collections of machine-readable documents and, over the past half-decade, in numerous academic research initiatives on their automatic processing. The Dagstuhl Seminar 22292 "Computational Approaches to Digitised Historical Newspaper" gathered researchers and practitioners with backgrounds in natural language processing, computer vision, digital history and digital library involved in computational approaches to historical newspapers with the objectives to share experiences, analyse successes and shortcomings, deepen our understanding of the interplay between computational aspects and digital scholarship, and discuss future challenges. This report documents the program and the outcomes of the seminar. DagRep, Volume 12, Issue 7, pages 112-179 |
| Databáze: | OpenAIRE |
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