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My question is whether it is useful to train sentences that contain no named entities to increase the Precision and Recall. On this way it could be learned which sentences/context contain NE and which do not (like off-topic data). Or should I only provide trainings data containing named entities?
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If I understand right, you are trying to extend your dataset with data that is not labeled. In this case, your Precision and Recall will only increase for "O" (BILOU). Also, it may let your Named Entities Scores even worse. Give it a try and run the conneval script, it will clarify what I'm trying to explain.
On Tue, Jan 2, 2018 at 9:14 PM, Rafael Antonio Ribeiro Gomes < ***@***.***> wrote:
If I understand right, you are trying to extend your dataset with data
that is not labeled. In this case, your Precision and Recall will only
increase for "O" (BILOU). Also, it may let your Named Entities Scores even
worst. Give it a try and run the *conneval* script, it will clarify what
I'm trying to explain.
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My question is whether it is useful to train sentences that contain no named entities to increase the Precision and Recall. On this way it could be learned which sentences/context contain NE and which do not (like off-topic data). Or should I only provide trainings data containing named entities?
The text was updated successfully, but these errors were encountered: