Named entity recognition and classification in historical documents: A survey

M Ehrmann, A Hamdi, EL Pontes, M Romanello… - ACM Computing …, 2023 - dl.acm.org
After decades of massive digitisation, an unprecedented number of historical documents are
available in digital format, along with their machine-readable texts. While this represents a …

When linguistics meets web technologies. Recent advances in modelling linguistic linked data

AF Khan, C Chiarcos, T Declerck, D Gifu… - Semantic …, 2022 - content.iospress.com
When linguistics meets web technologies. Recent advances in modelling linguistic linked data
- IOS Press You are viewing a javascript disabled version of the site. Please enable Javascript …

Named entity recognition and classification on historical documents: A survey

M Ehrmann, A Hamdi, EL Pontes, M Romanello… - arXiv preprint arXiv …, 2021 - arxiv.org
After decades of massive digitisation, an unprecedented amount of historical documents is
available in digital format, along with their machine-readable texts. While this represents a …

Injecting temporal-aware knowledge in historical named entity recognition

CE González-Gallardo, E Boros, E Giamphy… - … on Information Retrieval, 2023 - Springer
In this paper, we address the detection of named entities in multilingual historical collections.
We argue that, besides the multiple challenges that depend on the quality of digitization (eg …

The Value of Preexisting Structures for Digital Access: Modelling the Resolutions of the Dutch States General

M Koolen, R Hoekstra, J Oddens, R Sluijter… - ACM Journal on …, 2023 - dl.acm.org
The Resolutions of the Dutch States General (1576–1796) is an archive covering over two
centuries of decision making and consists of a heterogeneous series of handwritten and …

A Novel Method for News Article Event-Based Embedding

K Ishlach, I Ben-David, M Fire, L Rokach - arXiv preprint arXiv:2405.13071, 2024 - arxiv.org
Embedding news articles is a crucial tool for multiple fields, such as media bias detection,
identifying fake news, and news recommendations. However, existing news embedding …

[PDF][PDF] The past is a foreign place: Improving toponym linking for historical newspapers

MC Ardanuy, F Nanni, K Beelen, L Hare - Proceedings http://ceur-ws …, 2023 - ceur-ws.org
In this paper, we examine the application of toponym linking to digitised historical
newspapers. These collections constitute the largest trove of historical text data available to …

Leveraging Open Large Language Models for Historical Named Entity Recognition

CE González-Gallardo, TTH Hanh… - … on Theory and …, 2024 - univ-rochelle.hal.science
The efficacy of large-scale language models (LLMs) as few-shot learners has dominated the
field of natural language processing, achieving state-of-the-art performance in most tasks …

Semantic Search in Archive Collections Through Interpretable and Adaptable Relation Extraction About Person and Places

N Gutehrlé - European Conference on Information Retrieval, 2024 - Springer
Semantic Search in Archive Collections Through Interpretable and Adaptable Relation Extraction
About Person and Places | SpringerLink Skip to main content Advertisement SpringerLink …

A Zipf's Law-Driven Method for Extracting Entities from Documents

Z Wang, M Ren, D Gao, Z Li - arXiv preprint arXiv:2205.12636, 2022 - arxiv.org
Entity extraction is critical to the intelligent development of various domains and the
construction of knowledge agents. Yet, there is category imbalance problem in documents in …