Distintos miembros del grupo HULAT participan en congreso SEPLN2018, 34th Conference of the Spanish Society for Natural Language Processing, Sevilla, Spain, September 18th, 2018.
Los distintos trabajos han sido:
- Isabel Segura-Bedmar: LABDA's Early Steps Toward Multimodal Stance detection. IberEval@SEPLN 2018: 180-186
- Renzo M. Rivera Zavala, Paloma Martínez, Isabel Segura-Bedmar: A Hybrid Bi-LSTM-CRF Model to Recognition of Disabilities from Biomedical Texts. IberEval@SEPLN 2018: 44-52
- Renzo M. Rivera Zavala, Paloma Martínez, Isabel Segura-Bedmar:A Hybrid Bi-LSTM-CRF model for Knowledge Recognition from eHealth documents.TASS@SEPLN 2018: 65-70
- Víctor Suárez-Paniagua, Isabel Segura-Bedmar, Paloma Martínez: LABDA at TASS-2018 Task 3: Convolutional Neural Networks for Relation Classification in Spanish eHealth documents. TASS@SEPLN 2018: 71-76
- Christian Sánchez, Paloma Martínez: A Simple Method to Extract Abbreviations Within a Document Using Regular Expressions. IberEval@SEPLN 2018: 297-301
