Document Classification On Reuters 21578

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	F1
magnet-multi-label-text-classification-using	89.9
vector-of-locally-aggregated-word-embeddings	89.3
rep-the-set-neural-networks-for-learning-set	-
rethinking-complex-neural-network	87.0
speeding-up-word-movers-distance-and-its	-
docbert-bert-for-document-classification	88.9
improving-document-classification-with-multi	82.71
text-classification-with-word-embedding	-