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microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF
We evaluate the performance of different word and character embeddings on two standard German datasets and with a special focus on out-of-vocabulary words.
Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter
Best results are achieved from pre-training our model on the unsupervised topic clustering of tweets in combination with thematic user cluster information.
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