Papers with BioNLP Open Shared Task 2019

2 papers
VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases (D19-57)

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Challenge: The Named Entity Recognition of drugs, medications and chemical entities in Spanish is a new task in the field of NLP .
Approach: They propose to use SNOMED CT term search engine to classify the entities in Spanish and a neural model for the Named Entity Recognition.
Outcome: The proposed system achieves 76.29% and 60.34% performance in the Named Entity Recognition and Concept indexing tasks.
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning (D19-57)

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Challenge: Using natural language processing to discover and mine drug-related knowledge from text has been a hot topic in recent years.
Approach: They propose to use a pre-trained biomedical language representation model to extract mutation-disease knowledge from PubMed.
Outcome: The proposed approaches achieve 0.60 (ranks 1) and 0.25 (rank 2) on task 1 and task 2 respectively in terms of F1 metric.

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