Contrastive Entity Coreference and Disambiguation for Historical Texts [PDF]
Massive-scale historical document collections are crucial for social science research. Despite increasing digitization, these documents typically lack unique cross-document identifiers for individuals mentioned within the texts, as well as individual ...
Arora, Abhishek +3 more
core +1 more source
Entity Type Disambiguation in User Queries
Searching for information about individual entities such as persons, locations, events, is an important activity in Internet search today, and is in its core a very semantic-oriented task.
Heiko Stoermer +2 more
core
The Impact of Author Name Ambiguity on Bibliometric Validity. Comment on Ejaz et al. Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer. <i>Int. J. Environ. Res. Public Health</i> 2022, <i>19</i>, 12407. [PDF]
Rhazzar Z, Ennibi K, Touil N.
europepmc +1 more source
Distinct Neural Signatures of Novel Word-Referent Mapping in Monolingual and Bilingual Toddlers. [PDF]
Arredondo MM, Weatherhead D.
europepmc +1 more source
Leveraging large language models for rare disease named entity recognition. [PDF]
Xi NM, Deng Y, Wang L.
europepmc +1 more source
Tag disambiguation based on social network information
Within 20 years the Web has grown from a tool for scientists at CERN into a global information space. While returning to its roots as a read/write tool, its entering a more social and participatory phase.
Qasim, Syed Sumair
core
GLiNER-BioMed: a suite of efficient models for open biomedical named entity recognition. [PDF]
Yazdani A, Stepanov I, Teodoro D.
europepmc +1 more source
Supporting workflow reproducibility by linking bioinformatics tools across papers and executable code. [PDF]
Sebe C +5 more
europepmc +1 more source
A FAIR gold-standard benchmark for geographic entity recognition in cancer genomics literature for biomedical NLP. [PDF]
Kann MG +4 more
europepmc +1 more source
AI-Driven Medical Device Risk Management: A New Paradigm Integrating Large Language Models and Prompt Engineering for Standard-Risk Knowledge Graph Construction and Application. [PDF]
Zhu W +6 more
europepmc +1 more source

