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Hierarchical attention networks for document classification[C]\/\/Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2016: 1480--1489.","journal-title":"Human Language Technologies."},{"key":"e_1_3_2_1_22_1","volume-title":"Joint embedding of words and labels for text classification [J]. arXiv preprint arXiv:1805.04174","author":"Wang G","year":"2018","unstructured":"Wang G , Li C , Wang W , Joint embedding of words and labels for text classification [J]. arXiv preprint arXiv:1805.04174 , 2018 . Wang G, Li C, Wang W, et al. Joint embedding of words and labels for text classification [J]. arXiv preprint arXiv:1805.04174, 2018."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00051"},{"key":"e_1_3_2_1_24_1","volume-title":"Haisong Zhang. Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings. 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