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When coarse-grained tokenization rules are used, more representative tag scheme exhibited no significant advantage over the IOB tag scheme.
Nonetheless, no significant improvement was observed when a more representative tag schemes was used with the coarse or fine-grained tokenization rules.
This study presents the performance of CHEMDNER of three more representative tag schemes-IOBE, IOBES, and IOB12E-when applied to a widely utilized IOB tag set and combined with the coarse-/fine-grained tokenization methods.
Furthermore, the generation of fine-grained tokens along with the more representative tag set allows the CRF model to capture better mentions of longer entities that were generated by the fine-grained tokenization method.
In summary, the widely adopted IOB tag scheme provides generally a good formulation of the word sequences used in chemical mentions, because it can achieve comparable RPF-scores to more representative tag schemes with less usage in time and memory during the training phase.
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Our discovery indicates that under the finer tokenization strategy, the more representative IOBES tag set should be preferred over others for performing the CHEMDNER task.
For genes with more than one representative tag sequence, all the corresponding tag counts were summed up.
Among them, the clustering tags generated by TFIDF are more consistent with the actual situation of the research on the whole, and only individual clustering tags generated by LLR or MI are more representative than by TFIDF (as the words in italics shown in Table 1).
Goa is a much more representative example.
Nothing could be more representative.
But is it more representative?
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com