all AI news
Understanding Archives: Towards New Research Interfaces Relying on the Semantic Annotation of Documents
March 29, 2024, 4:48 a.m. | Nicolas Gutehrl\'e (CRIT), Iana Atanassova (CRIT, STIH, TESNIERE, LaLIC)
cs.CL updates on arXiv.org arxiv.org
Abstract: The digitisation campaigns carried out by libraries and archives in recent years have facilitated access to documents in their collections. However, exploring and exploiting these documents remain difficult tasks due to the sheer quantity of documents available for consultation. In this article, we show how the semantic annotation of the textual content of study corpora of archival documents allow to facilitate their exploitation and valorisation. First, we present a methodological framework for the construction of …
abstract annotation archives article arxiv campaigns cs.cl cs.dl digitisation documents however interfaces libraries research semantic tasks type understanding
More from arxiv.org / cs.CL updates on arXiv.org
Benchmarking LLMs via Uncertainty Quantification
1 day, 14 hours ago |
arxiv.org
CARE: Extracting Experimental Findings From Clinical Literature
1 day, 14 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Global Data Architect, AVP - State Street Global Advisors
@ State Street | Boston, Massachusetts
Data Engineer
@ NTT DATA | Pune, MH, IN