Book ChapterDOI
Trends and Techniques of Biomedical Text Mining: A Review
Baukje van den Berg
- pp 968-980
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The article was published on 2022-01-01. It has received 0 citations till now. The article focuses on the topics: Biomedical text mining & Computer science.read more
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Journal ArticleDOI
BioBERT: a pre-trained biomedical language representation model for biomedical text mining.
TL;DR: This article proposed BioBERT (Bidirectional Encoder Representations from Transformers for Biomedical Text Mining), which is a domain-specific language representation model pre-trained on large-scale biomedical corpora.
Journal ArticleDOI
MTML-msBayes: Approximate Bayesian comparative phylogeographic inference from multiple taxa and multiple loci with rate heterogeneity
TL;DR: Simulation validation tests demonstrated that one can detect the correct migration or isolation model with high probability, and that this HABC model testing procedure was greatly improved by incorporating a summary statistic originally developed for this task (Wakeley's ΨW).
Book ChapterDOI
Developing a robust part-of-speech tagger for biomedical text
Yoshimasa Tsuruoka,Yuka Tateishi,Jin-Dong Kim,Tomoko Ohta,John McNaught,Sophia Ananiadou,Jun'ichi Tsujii +6 more
TL;DR: Experimental results on the Wall Street Journal corpus, the GENIA corpus, and the PennBioIE corpus revealed that adding training data from a different domain does not hurt the performance of a tagger, and the authors' tagger exhibits very good precision on all these corpora.
Journal ArticleDOI
Methodological Review: Biomedical text mining and its applications in cancer research
Fei Zhu,Preecha Patumcharoenpol,Cheng Zhang,Yang Yang,Jonathan H. Chan,Asawin Meechai,Wanwipa Vongsangnak,Bairong Shen +7 more
TL;DR: This review introduces the basic concepts underlying text mining and examines some frequently used algorithms, tools, and data sets, as well as assessing how much these algorithms have been utilized.
Journal ArticleDOI
Community challenges in biomedical text mining over 10 years: success, failure and the future
Chung-Chi Huang,Zhiyong Lu +1 more
TL;DR: This article reviews the different community challenge evaluations held from 2002 to 2014 and their respective tasks and examines these challenge tasks through their targeted problems in NLP research and biomedical applications, respectively.