1 |
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-02992403 ; Association for Computational Linguistics. Nov 2019, Hong Kong, 2019, 978-1-950737-77-2 ; https://www.aclweb.org/anthology/D19-6200/ (2019)
|
|
BASE
|
|
Show details
|
|
2 |
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019) ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Approaching SMM4H with Merged Models and Multi-task Learning
|
|
|
|
In: Ellendorff, Tilia; Furrer, Lenz; Colic, Nicola; Aepli, Noëmi; Rinaldi, Fabio (2019). Approaching SMM4H with Merged Models and Multi-task Learning. In: Proceedings of the 4th Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, Florence, Italy, 2 August 2019 - 2 August 2019, 58-61. (2019)
|
|
Abstract:
We describe our submissions to the 4th edition of the Social Media Mining for Health Applications (SMM4H) shared task. Our team (UZH) participated in two sub-tasks: Automatic classifications of adverse effects mentions in tweets (Task 1) and Generalizable identification of personal health experience mentions (Task 4). For our submissions, we exploited ensembles based on a pre-trained language representation with a neural transformer architecture (BERT) (Tasks 1 and 4) and a CNN-BiLSTM(-CRF) network within a multi-task learning scenario (Task 1). These systems are placed on top of a carefully crafted pipeline of domain-specific preprocessing steps.
|
|
Keyword:
000 Computer science; 410 Linguistics; Digital Society Initiative; Institute of Computational Linguistics; knowledge & systems
|
|
URL: https://www.zora.uzh.ch/id/eprint/173922/1/Ellendorff_%26al_SMM4H2019.pdf https://www.aclweb.org/anthology/W19-3208/ https://doi.org/10.5167/uzh-173922 https://www.zora.uzh.ch/id/eprint/173922/
|
|
BASE
|
|
Hide details
|
|
5 |
Revisiting the decay of scientific email addresses
|
|
|
|
In: Rodriguez-Esteban, Raul; Vishnyakova, Dina; Rinaldi, Fabio (2019). Revisiting the decay of scientific email addresses. bioRxiv 633255, University of Zurich. (2019)
|
|
BASE
|
|
Show details
|
|
6 |
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
|
|
|
|
In: Sheikhalishahi, Seyedmostafa; Miotto, Riccardo; Dudley, Joel T; Lavelli, Alberto; Rinaldi, Fabio; Osmani, Venet (2019). Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. JMIR Medical Informatics, 7(2):e12239. (2019)
|
|
BASE
|
|
Show details
|
|
7 |
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
|
|
|
|
In: Holderness, Eben; Yepes, Antonio Jimeno; Lavelli, Alberto; Minard, Anne-Lyse; Pustejovsky, James; Rinaldi, Fabio (2019). Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019). In: Association for Computational Linguistics, Hong Kong, November, Hong Kong, 2019 - 2019. (2019)
|
|
BASE
|
|
Show details
|
|
8 |
Improving spaCy dependency annotation and PoS tagging web service using independent NER services
|
|
|
|
In: Colic, Nicola; Rinaldi, Fabio (2019). Improving spaCy dependency annotation and PoS tagging web service using independent NER services. Genomics & Informatics, 17(2):e21. (2019)
|
|
BASE
|
|
Show details
|
|
|
|