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Biomedical named entity recognition based on fusion multi-features embedding
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-68763-2_48openalex-snapshot
Biomedical Named Entity Recognition at Scale
inferredcites →https://doi.org/10.1007/978-3-319-99495-6_17openalex-snapshot
Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information Extraction
inferredcites →https://doi.org/10.1016/j.ejor.2008.06.023openalex-snapshot
An oligopoly model of dynamic advertising competition
inferredcites →https://doi.org/10.1016/j.jbi.2013.12.006openalex-snapshot
NCBI disease corpus: A resource for disease name recognition and concept normalization
inferredcites →https://doi.org/10.1016/j.jbi.2017.05.002openalex-snapshot
Character-level neural network for biomedical named entity recognition
inferredcites →https://doi.org/10.1016/j.jbi.2021.103799openalex-snapshot
Biomedical named entity recognition using BERT in the machine reading comprehension framework
inferredcites →https://doi.org/10.1093/bib/6.1.57openalex-snapshot
A survey of current work in biomedical text mining
inferredcites →https://doi.org/10.1093/bib/bbab282openalex-snapshot
Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison
inferredcites →https://doi.org/10.1093/bioinformatics/btab042openalex-snapshot
HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition
inferredcites →https://doi.org/10.1093/bioinformatics/btac598openalex-snapshot
BERN2: an advanced neural biomedical named entity recognition and normalization tool
inferredcites →https://doi.org/10.1093/bioinformatics/bty869openalex-snapshot
Cross-type biomedical named entity recognition with deep multi-task learning
inferredcites →https://doi.org/10.1093/bioinformatics/btz682openalex-snapshot
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
inferredcites →https://doi.org/10.1093/database/baw068openalex-snapshot
BioCreative V CDR task corpus: a resource for chemical disease relation extraction
inferredcites →https://doi.org/10.1109/tcbb.2022.3157630openalex-snapshot
Noise Reduction Learning Based on XLNet-CRF for Biomedical Named Entity Recognition
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1136/jamia.1994.95236146openalex-snapshot
A General Natural-language Text Processor for Clinical Radiology
inferredcites →https://doi.org/10.1145/3522593openalex-snapshot
Nested Named Entity Recognition: A Survey
inferredcites →https://doi.org/10.1186/1471-2105-10-223openalex-snapshot
Incorporating rich background knowledge for gene named entity classification and recognition
inferredcites →https://doi.org/10.1186/1471-2105-11-85openalex-snapshot
LINNAEUS: A species name identification system for biomedical literature
inferredcites →https://doi.org/10.1186/1472-6947-15-s1-s9openalex-snapshot
Developing a hybrid dictionary-based bio-entity recognition technique
inferredcites →https://doi.org/10.1186/gb-2008-9-s2-s2openalex-snapshot
Overview of BioCreative II gene mention recognition
inferredcites →https://doi.org/10.1186/s12859-017-1868-5openalex-snapshot
Long short-term memory RNN for biomedical named entity recognition
inferredcites →https://doi.org/10.1186/s12859-020-3393-1openalex-snapshot
DTranNER: biomedical named entity recognition with deep learning-based label-label transition model
inferredcites →https://doi.org/10.1186/s12859-021-04551-4openalex-snapshot
Hierarchical shared transfer learning for biomedical named entity recognition
inferredcites →https://doi.org/10.1371/journal.pone.0065390openalex-snapshot
The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text
inferredcites →https://doi.org/10.1371/journal.pone.0246310openalex-snapshot
A pre-training and self-training approach for biomedical named entity recognition
inferredcites →https://doi.org/10.14257/ijhit.2015.8.8.29openalex-snapshot
Biomedical Named Entity Recognition based on Deep Neutral Network
inferredcites →https://doi.org/10.1561/9781601981219openalex-snapshot
The Application of Hidden Markov Models in Speech Recognition
inferredcites →https://doi.org/10.16511/j.cnki.qhdxxb.2020.26.035openalex-snapshot
Faster biomedical named entity recognition based on knowledge distillation
inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.424openalex-snapshot
A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.3115/1567594.1567610openalex-snapshot
Introduction to the bio-entity recognition task at JNLPBA
inferredcites →https://doi.org/10.3115/1567594.1567614openalex-snapshot
Exploiting context for biomedical entity recognition
inferredcites →https://doi.org/10.3115/1567594.1567618openalex-snapshot
Biomedical named entity recognition using conditional random fields and rich feature sets
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1506.04214openalex-snapshot
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
inferredcites →https://doi.org/10.48550/arxiv.1509.01626openalex-snapshot
Character-level Convolutional Networks for Text Classification
inferredcites →https://doi.org/10.7717/peerj-cs.341openalex-snapshot
Application and evaluation of knowledge graph embeddings in biomedical data
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