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A Generic Classifier-Ensemble Approach for Biomedical …

    https://link.springer.com/chapter/10.1007/978-3-642-30217-6_8
    In named entity recognition (NER) for biomedical literature, approaches based on combined classifiers have demonstrated great performance improvement compared to a single (best) classifier. This is mainly owed to sufficient level of diversity exhibited among …

Biomedical Named Entity Recognition Based on …

    https://www.researchgate.net/publication/26621961_Biomedical_Named_Entity_Recognition_Based_on_Classifiers_Ensemble
    Abstract In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random …

Biomedical Named Entity Recognition Based on …

    https://www.semanticscholar.org/paper/Biomedical-Named-Entity-Recognition-Based-on-Wang-Zhao/551de8c97f4f4337ee0d3334b0dc600cec64805e
    In the experiments on the JNLPBA 2004 evaluation data, our best system achieves an F-score of 77.57%, which is better than most state of the art systems. The experiment show …

Named entity recognition and classification in biomedical …

    https://pubmed.ncbi.nlm.nih.gov/26336665/
    Biomedical Named Entities include mentions of proteins, genes, DNA, RNA, etc. which, in general, have complex structures and are difficult to recognise. In this paper, we propose …

Classifier subset selection for biomedical named entity …

    https://link.springer.com/article/10.1007/s10489-008-0124-0
    Classifier ensembling approach is considered for biomedical named entity recognition task. A vote-based classifier selection scheme having an …

Vote-Based Classifier Selection for Biomedical NER …

    https://link.springer.com/chapter/10.1007/978-3-540-72849-8_26
    We propose a genetic algorithm for constructing a classifier ensemble using a vote-based classifier selection approach for biomedical named entity recognition task. Assuming …

A Generic Classifier-Ensemble Approach for Biomedical …

    https://www.semanticscholar.org/paper/A-Generic-Classifier-Ensemble-Approach-for-Named-Liao-Zhang/90b8dabf55bc88d38b9b759b0fd969d6b666cb86
    In named entity recognition (NER) for biomedical literature, approaches based on combined classifiers have demonstrated great performance improvement …

(PDF) BIOMEDICAL NAMED ENTITY …

    https://www.researchgate.net/publication/342670283_BIOMEDICAL_NAMED_ENTITY_RECOGNITION
    Named Entity Recognition (NER) is a crucial Natural Language Processing (NLP) task which extracts Named Entities (NE) from the text. Names of persons, …

A Generic Classifier-Ensemble Approach for …

    https://www.researchgate.net/publication/262272575_A_Generic_Classifier-Ensemble_Approach_for_Biomedical_Named_Entity_Recognition
    In named entity recognition (NER) for biomedical literature, approaches based on combined classifiers have demonstrated great performance …

Named entity recognition and classification in biomedical …

    https://www.researchgate.net/publication/276857815_Named_entity_recognition_and_classification_in_biomedical_text_using_classifier_ensemble
    Biomedical Named Entities include mentions of proteins, genes, DNA, RNA, etc. which, in general, have complex structures and are difficult to recognise. In this …



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