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Introduction Predictions in the background set of Cantemist participants. Zip structure One directory per Cantemist subtask. Within each Cantemist 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 Cantemist-NER and Cantemist-Norm, the files are in Brat format. For the sub-track Cantemist-Coding files have the following fields: articleID ICDO-code 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 Cantemist participants. For more information, visit the track webpage: http://temu.bsc.es/cantemist/ or email us at encargo-pln-life@bsc.es
Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
ICD-O, normalization, oncology, NER, corpus, NLP, Silver Standard, clinical coding
ICD-O, normalization, oncology, NER, corpus, NLP, Silver Standard, clinical coding
citations 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 | 35 | |
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