Papers by Inês Gomes
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. |