Papers by Rui Correia

2 papers
Effort Estimation in Named Entity Tagging Tasks (2020.lrec-1)

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Challenge: Named Entity Recognition (NER) requires large amounts of annotated data.
Approach: They investigate which variables influence the time spent on a named entity annotation task by a human . they found a root mean squared error (RMSE) of 25.68 words per minute with a Nearest Neighbors model .
Outcome: The proposed model achieves a root mean squared error (RMSE) of 25.68 words per minute with a Nearest Neighbors model.
Towards Speaker Verification for Crowdsourced Speech Collections (2022.lrec-1)

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Challenge: Existing methods to detect low quality work do not address the correctness of the data.
Approach: They propose an unsupervised method for measuring speaker metadata plausibility of a collection, i.e., evaluating the match (or lack thereof) between contributors and speakers.
Outcome: The proposed method shows high precision in automatically classifying contributor alignment (>0.94).

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