Article

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

2018-01-31

Abstract excerpt

<h4>Motivation</h4> State-of-the-art biomedical named entity recognition (BioNER) systems often require handcrafted features specific to each entity type, such as genes, chemicals and diseases. Although recent studies explored using neural network models for BioNER to free experts from manual feature engineering, the performance remains limited by the available training data for each entity type. <h4>Results</h4>...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 0677b6bd-4bc5-535f-a3f5-89973e922537
DOI: 10.1101/256453

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task LearningDOI 10.1101/256453Read

Transfer learning for biomedical named entity recognition with neural networksSemantic proximity Read

BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity RecognitionSemantic proximity Read

Accurate Name Entity Recognition for Biomedical Literatures: A Combined High-quality Manual Annotation and Deep-learning Natural Language Processing StudySemantic proximity Read

BioByGANS: biomedical named entity recognition by fusing contextual and syntactic features through graph attention network in node classification frameworkSemantic proximity Read

Europe PMC Annotated Full-text Corpus for Gene/Proteins, Diseases and OrganismsSemantic proximity Read

High-precision Biomedical Text Corpora for Multi-Entity RecognitionSemantic proximity Read

Chinese medical named entity recognition of long text based on deep learningSemantic proximity Read

BiLSTM-SLA for enhancing biomedical entity linking in short texts: Bidirectional LSTM approach with Stacked Layers and Attention mechanismSemantic proximity Read

Improving Biomedical Named Entity Recognition with Label Re-correction and Knowledge DistillationSemantic proximity Read

Improving dictionary-based named entity recognition with deep learningSemantic proximity Read

NERO: A Biomedical Named-entity (Recognition) Ontology with a Large, Annotated Corpus Reveals Meaningful Associations Through Text EmbeddingSemantic proximity Read

Schema-Grounded Multitask Instruction Fine-tuning for Joint Biomedical Named Entity Recognition and Relation Extraction in PharmacovigilanceSemantic proximity Read