Gold Standard

MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations
We present the Multilingual Entity Linking of Occupations (MELO) Benchmark, a new collection of 48 datasets for evaluating the linking …
Federico Retyk, Luis Gasco, Casimiro Pio Carrino, Daniel Deniz, Rabih Zbib
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BioASQ at CLEF2024: The Twelfth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge
The large-scale biomedical semantic indexing and question-answering challenge (BioASQ) aims at the continuous advancement of methods …
Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras, Luis Gasco, Martin Krallinger, Salvador Lima, Eulalia Farre, Natalia Loukachevitch, Vera Davydova, Elena Tutubalina
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Overview of SympTEMIST at BioCreative VIII: corpus, guidelines and evaluation of systems for the detection and normalization of symptoms, signs and findings from text
Recent advances in NLP techniques, the use of large language models and Transformers are showing promising results for processing …
Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gasco, Jan Rodríguez-Miret, Martin Krallinger
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SciLinker
An app to assist the creation of entity linking corpora .
SciLinker
MEDDOPLACE Shared Task overview: recognition, normalization and classification of locations and patient movement in clinical texts
We present the MEDDOPLACE task, the first initiative addressing the automatic detection and normalization of all location-relevant …
Salvador Lima-López, Eulàlia Farré-Maduell, Vicent Briva-Iglesias, Luis Gasco, Martin Krallinger
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Overview of MedProcNER task on medical procedure detection and entity linking at BioASQ 2023
Recent advances in NLP techniques, the use of large language models and Transformers are showing promising results for processing …
Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gasco, Anastasios Nentidis, Anastasia Krithara, Georgios Katsimpras, Georgios Paliouras, Martin Krallinger
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Overview of SympTEMIST at BioCreative VIII: corpus, guidelines and evaluation of systems for the detection and normalization of symptoms, signs and findings from text
Systems capable of detecting and normalizing symptom mentions from clinical texts are crucial for healthcare data mining, AI applied to …
Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gasco, Jan Rodríguez-Miret, Martin Krallinger
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BioASQ at CLEF2022: the tenth edition of the large-scale biomedical semantic indexing and question answering challenge
The tenth version of the BioASQ Challenge will be held as an evaluation Lab within CLEF2022. The motivation driving BioASQ is the …
Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras, Luis Gasco, Martin Krallinger
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Mention detection, normalization & classification of species, pathogens, humans and food in clinical documents: Overview of the LivingNER shared task and resources
There is a pressing need to generate tools for finding mentions of species, pathogens, or food from medical texts. To promote the …
Antonio Miranda-Escalada, Eulàlia Farré-Maduell, Salvador Lima-López, Darryl Estrada, Luis Gasco, Martin Krallinger
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Overview of BioASQ 2022: the tenth BioASQ challenge on large-scale biomedical semantic indexing and question answering
This paper presents an overview of the tenth edition of the BioASQ challenge in the context of the Conference and Labs of the …
Anastasios Nentidis, Georgios Katsimpras, Eirini Vandorou, Anastasia Krithara, Antonio Miranda-Escalada, Luis Gasco, Martin Krallinger, Georgios Paliouras
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