Comparison of Syntactic Parsers on Biomedical Texts
Maria Biryukov
TL;DR
This paper evaluates the performance of various syntactic parsers on biomedical texts to understand their impact on information extraction quality.
Contribution
It provides a comparative analysis of popular syntactic parsers specifically applied to biomedical text mining tasks.
Findings
Different parsers vary significantly in accuracy on biomedical texts.
Some parsers outperform others in precision and recall.
The study highlights the importance of parser selection in biomedical NLP applications.
Abstract
Syntactic parsing is an important step in the automated text analysis which aims at information extraction. Quality of the syntactic parsing determines to a large extent the recall and precision of the text mining results. In this paper we evaluate the performance of several popular syntactic parsers in application to the biomedical text mining.
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Taxonomy
TopicsBiomedical Text Mining and Ontologies · Natural Language Processing Techniques · Topic Modeling