Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding
نویسندگان
چکیده
منابع مشابه
Targeted feature dropout for robust slot filling in natural language understanding
In slot filling with conditional random field (CRF), the strong current word and dictionary features tend to swamp the effect of contextual features, a phenomenon also known as feature undertraining. This is a dangerous tradeoff especially when training data is small and dictionaries are limited in their coverage of the entities observed during testing. In this paper, we propose a simple and ef...
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ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Audio, Speech, and Language Processing
سال: 2020
ISSN: 2329-9290,2329-9304
DOI: 10.1109/taslp.2020.2980152