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Introduction Predictions in the background set of eHealth CLEF 2020 Task 1 participants. Zip structure One directory per CodiEsp subtask. Within each CodiEsp subtask directory, there is one directory per team that contains the prediction runs. Format The text documents are distributed in plain text files, UTF-8 encoding. The CodiEsp Silver Standard annotations have the following format: For the sub-tracks CodiEsp-Diagnostic and CodiEsp-Procedure, the file files have the following fields: articleID ICD10-code Tab-separated files for the sub-track CodiEsp-X (explainability) contain extra fields that provide the text-reference and its position: articleID label ICD10-code text-reference reference-position Resources: Web Citation: Miranda-Escalada, A., Farré, E., & Krallinger, M. (2020). Named entity recognition, concept normalization and clinical coding: Overview of the cantemist track for cancer text mining in spanish, corpus, guidelines, methods and results. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020), CEUR Workshop Proceedings. Gold Standard corpus Annotation guidelines YouTube presentations Participant codes All credit to CodiEsp participants
Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
ICD10, CLEF, CIE10, NLP, clinical coding
ICD10, CLEF, CIE10, NLP, clinical coding
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 26 | |
| downloads | 4 |

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