Bi-directional LSTM-CNNs-CRF for Italian Sequence Labeling and Multi-Task Learning
نویسندگان
چکیده
منابع مشابه
Bi-directional LSTM-CNNs-CRF for Italian Sequence Labeling
English. In this paper, we propose a Deep Learning architecture for sequence labeling based on a state of the art model that exploits both wordand characterlevel representations through the combination of bidirectional LSTM, CNN and CRF. We evaluate the proposed method on three Natural Language Processing tasks for Italian: PoS-tagging of tweets, Named Entity Recognition and Super-Sense Tagging...
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ژورنال
عنوان ژورنال: Italian Journal of Computational Linguistics
سال: 2017
ISSN: 2499-4553
DOI: 10.4000/ijcol.553