Correction: Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets

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Home Correction: Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets

Dario Borrelli, Gabriela Gongora Svartzman, Carlo Lipizzi

https://doi.org/10.1371/journal.pone.0245404, Volume: 16, Issue: 1, Pages: 1-2

Article Type: Correction Article History

Publisher: Public Library of Science

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Borrelli,Svartzman,and Lipizzi: Correction: Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets

The image for Fig 5 incorrectly shows the left line-plot and the middle line-plot as same. Please see the correct Fig 5 here.

Fig 5

Accuracy, precision, recall.

The F_{β = 1} score, precision, and recall as a function of the corpus length. In this graph, the WSJ corpus length has also been reduced to the same dimension as the Twitter Corpus.

Reference

DBorrelli, GGongora Svartzman, CLipizzi (2020) Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets. PLoS ONE 15(6): e0234214 10.1371/journal.pone.0234214