AI Engineer | NLP & Semantic AI Researcher | Knowledge Graphs | Transformers
I work on Natural Language Processing, transformer models, and semantic knowledge representation.
My research focuses on combining machine learning with semantic technologies to transform unstructured data into actionable knowledge.
Author of the paper:
Semantic Modeling of ECU 911 Emergencies Using NLP and Ontologies
Published in Revista TecnolΓ³gica ESPOL.
DOI:
https://doi.org/10.37815/rte.v37nE1.1351
This research combines:
- NLP (BERT for Named Entity Recognition)
- Zero-shot classification using XLM-RoBERTa
- OWL Ontologies
- SWRL Rules
- Semantic reasoning using Pellet
- Knowledge graph modeling
Fine-tuned BERT model for Named Entity Recognition on Spanish emergency reports.
Repo:
https://github.com/dannyleo16/bert-ner-finetuning
Model:
https://huggingface.co/dannyLeo16/ner_model_bert_base
Hybrid AI system combining NLP and ontologies to analyze emergency reports.
Repo:
https://github.com/dannyleo16/ecu911-semantic-ai
API built with FastAPI to perform Named Entity Recognition on Spanish emergency reports.
Repo:
https://github.com/dannyleo16/nlp-emergency-api
Python
Transformers
BERT
HuggingFace
OWL Ontologies
SWRL
SPARQL
Prolog
HuggingFace:
https://huggingface.co/dannyLeo16
Email:
dannypaltin2015@gmail.com
LinkedIn:
https://www.linkedin.com/in/danny-paltin-b47aaa129