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BioTM, LASIGE, Fac. Ciências, Universidade de Lisboa's Projects

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Biomedical Term Annotator

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lasigeBioTM at BioCreative VII Track 1: Text mining drug and chemical-protein interactions using biomedical ontologies

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Repository with code and data used on the Biomedical Text Mining workshop at Bioinformatics Open Days 2017

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BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction

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Generating Scientific Question Answering Corpora from Q&A forums

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Annotation of Human Phenotype-Gene Relations - Improving Accessibility and Distinction between Negative Results in Biomedical Relation Extraction

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Annotating a multilingual COVID-19-related corpus

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Biomarker Literature Retrieval

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BOE: BiOnt Enhanced for Relation Extraction in Gene and Chemical Compounds interactions (DrugProt corpus)

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Classifying Relations via Long Short-Term Memory Networks along Biomedical Ontologies

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Code relative to the participation of the lasigeBioTM team in the CANTEMIST-CANcer TExt Mining Shared Task – tumor named entity recognition.

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create Astro Ratings Matrix

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Chemical Compounds Recommender Matrix

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Clinical Timeline Annotation (CiTA)

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Semantic Similarity Measures using Disjunctive Shared Information

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Deep Recommenders with Python: A Python library for building Deep Learning based Recommender Systems

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A Systematic Pipeline to Unravel the Convergence Patterns of Genetic Variants in Complex Diseases

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Identifying Biomedical Entities

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Identifying Biomedical Relations

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ICERL system: Iberian Cancer-related Entity Recognition and Linking system ICR corpus: Iberian Cancer-related corpus

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Identifying Cellular Relations

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Identification of Human Phenotype Entities

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Calculate the Jaccard Similarity Coefficient between two sets of terms based on their ancestors in an OBO ontology

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Biomedical Relation Extraction with Knowledge Graph-based Recommendations

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