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This repository has been archived by the owner on Jul 18, 2024. It is now read-only.
Hi, I just wondering does it support for multi-label classification as in the example, the pre-processed dataset seems to fit for a binary classification task. I am wondering, if I want to use the code for multi-label classification, how could I deal with the "doc1_label_ID" in the prepared text file. Thank you in advance for your help!
The text was updated successfully, but these errors were encountered:
Yes, it is able to support multi-label classification with very minor modification in the training classifier. The WME is essentially providing only the embeddings of each sentence/document and can be combined with any classifier/clustering task.
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Hi, I just wondering does it support for multi-label classification as in the example, the pre-processed dataset seems to fit for a binary classification task. I am wondering, if I want to use the code for multi-label classification, how could I deal with the "doc1_label_ID" in the prepared text file. Thank you in advance for your help!
The text was updated successfully, but these errors were encountered: