Biomedical Named Entity Recognition Using Structured Support Vector Machine
Lobna Mady; Afify, Yasmine M.; Nagwa Badr;
Abstract
Named entity recognition is an information extraction subtask
that aims to discover named items referenced in unstructured
text and classify them into predefined class labels. Identifying
biomedical entities such as proteins, cell lines, cell types, DNAs
and RNAs has been recognized as a challenging task in named
entity recognition. In this paper, the applicability of using
structured support vector machine to classify biomedical named
entity recognition is thoroughly investigated. This is achieved
by utilizing a combination of various types of features such as
morphological, part of speech, orthographical, context and word
representation to explore the classification performance.
Comprehensive experiments were conducted on two popular
datasets based on multiple evaluation metrics. Experimental
results revealed that the performance of the structured support
vector machine surpasses that of different benchmark
approaches in the literature.
that aims to discover named items referenced in unstructured
text and classify them into predefined class labels. Identifying
biomedical entities such as proteins, cell lines, cell types, DNAs
and RNAs has been recognized as a challenging task in named
entity recognition. In this paper, the applicability of using
structured support vector machine to classify biomedical named
entity recognition is thoroughly investigated. This is achieved
by utilizing a combination of various types of features such as
morphological, part of speech, orthographical, context and word
representation to explore the classification performance.
Comprehensive experiments were conducted on two popular
datasets based on multiple evaluation metrics. Experimental
results revealed that the performance of the structured support
vector machine surpasses that of different benchmark
approaches in the literature.
Other data
Title | Biomedical Named Entity Recognition Using Structured Support Vector Machine | Authors | Lobna Mady; Afify, Yasmine M. ; Nagwa Badr | Keywords | Biomedical named entity recognition, machine learning, classification, natural language processing, structured support vector machine. | Issue Date | 2021 | Publisher | International Journal of Computers and Their Applications | Volume | 28 | Issue | 4 |
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