Knowledge graphs for the life sciences: Recent developments, challenges and opportunities
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 …
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
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 …
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
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 …
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 …
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 …
especially court judgments, based on the organization of a textual document repository and …
Contrastive Entity Coreference and Disambiguation for Historical Texts
Massive-scale historical document collections are crucial for social science research.
Despite increasing digitization, these documents typically lack unique cross-document …
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 …
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 …
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 …
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 …
Systems Engineering (WISE 2024), held in Doha, Qatar, December 2–5, 2024. The series of …