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RESPONSE: As pointed out by the reviewer, we have modified the pointed text as follows: If all the entities are correctly identified then co-occurrence based approach leads to 100% recall for relation extraction.
When Andrew P. Osterman, 31, was about to interview recently for his job as a technology manager, a friend from business school sent him a pointed text message: "Remember, you're not denying coverage, you're just withholding payment".
Considering the reviewer's comment, we have improved the description in the pointed text to follows: In this work, we proposed approaches for identification of relations between miRNAs and other named entities such as diseases, and genes/proteins from biomedical literature.
The following pointed text has been modified in the manuscript: Next to lexical features, dependency parsing (created using Stanford parser) provides an insight into the entire grammatical structure of the sentence 37 and was performed using the Stanford CoreNLP library (http://nlp.stanford.edu/software/corenlp.shtml ).shtml
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We thank the reviewers for pointing out text that would be difficult for the generalist.
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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