Knowledge graphs for the life sciences: Recent developments, challenges and opportunities

J Chen, H Dong, J Hastings, E Jiménez-Ruiz… - arXiv preprint arXiv …, 2023 - arxiv.org
The term life sciences refers to the disciplines that study living organisms and life processes,
and include chemistry, biology, medicine, and a range of other related disciplines. Research …

Reveal the unknown: Out-of-knowledge-base mention discovery with entity linking

H Dong, J Chen, Y He, Y Liu, I Horrocks - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
Discovering entity mentions that are out of a Knowledge Base (KB) from texts plays a critical
role in KB maintenance, but has not yet been fully explored. The current methods are mostly …

Ontology enrichment from texts: A biomedical dataset for concept discovery and placement

H Dong, J Chen, Y He, I Horrocks - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
Mentions of new concepts appear regularly in texts and require automated approaches to
harvest and place them into Knowledge Bases (KB), eg, ontologies and taxonomies …

NASTyLinker: NIL-aware scalable transformer-based entity linker

N Heist, H Paulheim - European Semantic Web Conference, 2023 - Springer
Entity Linking (EL) is the task of detecting mentions of entities in text and disambiguating
them to a reference knowledge base. Most prevalent EL approaches assume that the …

An entity-centric approach to manage court judgments based on Natural Language Processing

V Bellandi, C Bernasconi, F Lodi, M Palmonari… - Computer Law & …, 2024 - Elsevier
In this paper, we present an entity-centric infrastructure to manage legal documents,
especially court judgments, based on the organization of a textual document repository and …

Contrastive Entity Coreference and Disambiguation for Historical Texts

A Arora, E Silcock, L Heldring, M Dell - arXiv preprint arXiv:2406.15576, 2024 - arxiv.org
Massive-scale historical document collections are crucial for social science research.
Despite increasing digitization, these documents typically lack unique cross-document …

Named Entity Recognition and Linking for Entity Extraction from Italian Civil Judgements

R Pozzi, R Rubini, C Bernasconi… - International Conference of …, 2023 - Springer
The extraction of named entities from court judgments is useful in several downstream
applications, such as document anonymization and semantic search engines. In this paper …

Cost-Effective Knowledge Extraction Framework for Low-Resource Environments

S Nam, EK Kim - IEEE Access, 2024 - ieeexplore.ieee.org
Extracting knowledge from texts is crucial for enriching everyday knowledge. Constructing a
knowledge extraction environment requires comprehensive processes, such as data …

Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations

R Pozzi, V Barbera, R Alva Principe, D Giardini… - … Conference on Web …, 2025 - Springer
Criminal investigations often involve the analysis of messages exchanged through instant
messaging apps such as WhatsApp, which can be an extremely effort-consuming task. Our …

[图书][B] Web Information Systems Engineering–WISE 2024: 25th International Conference, Doha, Qatar, December 2–5, 2024, Proceedings, Part II

M Barhamgi - 2024 - books.google.com
Welcome to the proceedings of the 25th International Conference on Web Information
Systems Engineering (WISE 2024), held in Doha, Qatar, December 2–5, 2024. The series of …