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We run a study of a large scale corpus of Flickr groups using the three target dimensions, being able to draw a more nuanced characterization of them than previous work.
The release of the PMC open access corpus in the BioC XML format is important because it will provide a large scale corpus of full text articles in the biomedical domain, fully and freely available for biomedical research in an easy-to-use format for text processing applications.
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Large scale corpora, however, can reveal consistencies in linguistic selections over large numbers of instances, and potentially over a diverse array of registers.
Our metrics are tested on a large-scale corpus of public, online, user-generated groups.
We show that our theoretical results have been verified in a large-scale corpus analysis.
The limitation of KWIC is that it cannot efficiently sort out the data from a large-scale corpus.
Aspect-based sentiment classification can efficiently solve fine-grained sentiment recognition, however, its classification accuracy becomes decreasing for large-scale corpus.
We evaluate on a large-scale corpus of emotional speech from a professional voice actress, additionally annotated with perceived emotional labels from crowdsourced listeners.
Second, regarding providing examples, only a few examples are listed, which lacks support from large-scale corpora and it is difficult to reflect the common usage.
In this paper, we propose a parallel algorithm to infer topic hierarchies from a large scale document corpus.
The resulting BC4GO corpus is large scale and the only one of its kind.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com