GILE: A Generalized Input-Label Embedding for Text Classification
نویسندگان
چکیده
منابع مشابه
Multi-Task Label Embedding for Text Classification
Multi-task learning in text classification leverages implicit correlations among related tasks to extract common features and yield performance gains. However, most previous works treat labels of each task as independent and meaningless onehot vectors, which cause a loss of potential information and makes it difficult for these models to jointly learn three or more tasks. In this paper, we prop...
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ژورنال
عنوان ژورنال: Transactions of the Association for Computational Linguistics
سال: 2019
ISSN: 2307-387X
DOI: 10.1162/tacl_a_00259