Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records
G Ferdinands, R Schram, J de Bruin, A Bagheri… - Systematic …, 2023 - Springer
Background Conducting a systematic review demands a significant amount of effort in
screening titles and abstracts. To accelerate this process, various tools that utilize active …
screening titles and abstracts. To accelerate this process, various tools that utilize active …
[PDF][PDF] Simulation-based Active Learning for Systematic Reviews: A Systematic Review of the Literature
This study investigated the utility of active learning in accelerating the systematic review
process. We systematically reviewed literature from 2006 onwards, using the open-source …
process. We systematically reviewed literature from 2006 onwards, using the open-source …
Stress test evaluation of transformer-based models in natural language understanding tasks
There has been significant progress in recent years in the field of Natural Language
Processing thanks to the introduction of the Transformer architecture. Current state-of-the-art …
Processing thanks to the introduction of the Transformer architecture. Current state-of-the-art …
[PDF][PDF] Active learning for screening prioritization in systematic reviews-A simulation study
G Ferdinands, R Schram, J Bruin, A Bagheri… - 2020 - researchgate.net
Background Conducting a systematic review requires great screening effort. Various tools
have been 2 proposed to speed up the process of screening thousands of titles and …
have been 2 proposed to speed up the process of screening thousands of titles and …
[PDF][PDF] Automatic Section Classification in Spanish Clinical Narratives Using Chunked Named Entity Recognition.
The extraction and classification of important information from Spanish Electronic Clinical
Narratives (ECNs) can be challenging due to the complexity of the clinical text and the …
Narratives (ECNs) can be challenging due to the complexity of the clinical text and the …
On adversarial examples for biomedical nlp tasks
The success of pre-trained word embeddings has motivated its use in tasks in the
biomedical domain. The BERT language model has shown remarkable results on standard …
biomedical domain. The BERT language model has shown remarkable results on standard …
Neural Machine Translation through Active Learning on low-resource languages: The case of Spanish to Mapudungun
B Pendas, A Carvallo, C Aspillaga - Proceedings of the Workshop …, 2023 - aclanthology.org
Active learning is an algorithmic approach that strategically selects a subset of examples for
labeling, with the goal of reducing workload and required resources. Previous research has …
labeling, with the goal of reducing workload and required resources. Previous research has …
Rating and aspect-based opinion graph embeddings for explainable recommendations
The success of neural network embeddings has entailed a renewed interest in using
knowledge graphs for a wide variety of machine learning and information retrieval tasks. In …
knowledge graphs for a wide variety of machine learning and information retrieval tasks. In …
[PDF][PDF] LinkMed: Entity Recognition and Relation Extraction from Clinical Notes in Spanish.
Relation extraction is an essential component of Natural Language Processing (NLP) and
significantly influences information retrieval and structured information extraction. Within …
significantly influences information retrieval and structured information extraction. Within …
Unveiling Social Media Comments with a Novel Named Entity Recognition System for Identity Groups
A Carvallo, T Quiroga, C Aspillaga… - arxiv preprint arxiv …, 2024 - arxiv.org
While civilized users employ social media to stay informed and discuss daily occurrences,
haters perceive these platforms as fertile ground for attacking groups and individuals. The …
haters perceive these platforms as fertile ground for attacking groups and individuals. The …