Papers by Jolene Valenzuela

1 papers
Annotation Process for the Dialog Act Classification of a Taglish E-commerce Q&A Corpus (D19-51)

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Challenge: Existing studies on DA classification in general contexts have not addressed this problem.
Approach: They constructed a text-based corpus of 7,265 posts from the question and answer section of products on Lazada Philippines.
Outcome: The text-based corpus of 7,265 posts from the question and answer section of products on Lazada Philippines was constructed using a tagset for DA classification . the corpus was composed dominantly of single-label posts, with 34% of the corpuse having multiple intent tags.

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