Integrating Semantic Knowledge to Tackle Zero-shot Text Classification

NAACL 2019 Jingqing ZhangPiyawat LertvittayakumjornYike Guo

Insufficient or even unavailable training data of emerging classes is a big challenge of many classification tasks, including text classification. Recognising text documents of classes that have never been seen in the learning stage, so-called zero-shot text classification, is therefore difficult and only limited previous works tackled this problem... (read more)

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