Named entity recognition and classification in historical documents: A survey
After decades of massive digitisation, an unprecedented number of historical documents are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 …
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
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 …
- 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Named entity recognition and classification on historical documents: A survey
After decades of massive digitisation, an unprecedented amount of historical documents is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 …
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 …
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 …
centuries of decision making and consists of a heterogeneous series of handwritten and …
A Novel Method for News Article Event-Based Embedding
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 …
identifying fake news, and news recommendations. However, existing news embedding …
[PDF][PDF] The past is a foreign place: Improving toponym linking for historical newspapers
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 …
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 …
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 …
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 …
construction of knowledge agents. Yet, there is category imbalance problem in documents in …