Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019)
Overview Paper
- Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of Results
Montserrat Marimon, Aitor Gonzalez-Agirre, Ander Intxaurrondo, Heidy Rodríguez, Jose Lopez Martin, Marta Villegas, Martin Krallinger
Participants Papers
- Spanish Medical Document Anonymization with Three-channel Convolutional Neural Networks
Jordi Porta-Zamorano - Anonymization of Sensitive Information in Medical Health Records
Bhavna Saluja, Gaurav Kumar, João Sedoc, Chris Callison-Burch - VSP at MEDDOCAN 2019 De-Identification of Medical Documents in Spanish with Recurrent Neural Networks
Víctor Suárez-Paniagua - De-Identification through Named Entity Recognition for Medical Document Anonymization
Hermenegildo Fabregat, Andres Duque, Juan Martinez-Romo, Lourdes Araujo - NLNDE: The Neither-Language-Nor-Domain-Experts’ Way of Spanish Medical Document De-Identification
Lukas Lange, Heike Adel, Jannik Strötgen - Protected Health Information Recognition by BiLSTM-CRF
Cristóbal Colón-Ruiz, Isabel Segura-Bedmar - Anonymization of Clinical Reports in Spanish: a Hybrid Method Based on Machine Learning and Rules
Pilar López- Úbeda, Manuel Díaz-Galiano, Luis Alfonso Ureña-López, María-Teresa Martín-Valdivia - Vicomtech at MEDDOCAN: Medical Document Anonymization
Naiara Perez, Laura García-Sardiña, Manex Serras, Arantza Del Pozo - Resource-Based Anonymization for Spanish Clinical Cases
Fernando Sánchez-León - E2EJ: Anonymization of Spanish Medical Records using End-to-End Joint Neural Networks
Mohammed Jabreel, Fadi Hassan, Najlaa Maarrof, David Sánchez, Josep Domingo-Ferrer, Antonio Moreno - Hadoken: a BERT-CRF Model for Medical Document Anonymization
Jihang Mao, Wanli Liu - ReCRF: Spanish Medical Document Anonymization using Automatically-crafted Rules and CRF
Fadi Hassan, Mohammed Jabreel, Najlaa Maarrof, David Sánchez, Josep Domingo-Ferrer, Antonio Moreno - A Generic Neural Exhaustive Approach for Entity Recognition and Sensitive Span Detection
Mohammad Golam Sohrab, Pham Minh Thang, Makoto Miwa - Window Classifiers and Conditional Random Fields for Medical Report De-Identification
Viviana Cotik, Franco Luque, Juan Manuel Pérez - Key Phrases Annotation in Medical Documents: MEDDOCAN 2019 Anonymization Task
Alicia Lara-Clares, Ana Garcia-Serrano - A Deep Learning-Based System for the MEDDOCAN Task
Dehuan Jiang, Yedan Shen, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Ruifeng Xu, Jun Yan, Yi Zhou
MEDDOCAN Publications
All teams sending a test set prediction submission will be invited to send a workshop proceedings paper on their system (systems description paper), similarly to previous IberEval events. It is not mandatory to assist to the workshop, but we encourage very much attendance. You can send both submissions and the workshop proceedings paper without attending the workshop.
We will invite MEDDOCAN participants to give a short flash presentation of their system at the workshop. Additionally, top scoring teams will have the opportunity to give a longer presentation at the workshop.
We plan to invite selected works for full publication in a Q1 Journal – Special Issue devoted to MEDDOCAN. Invitation to the special issue will consider multiple aspects such as performance, novelty of the system, availability of the underlying system (software/web-service) as well as the workshop presentation.