Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures

EMNLP 2017 Lifu HuangAvirup SilHeng JiRadu Florian

Slot Filling (SF) aims to extract the values of certain types of attributes (or slots, such as person:cities\_of\_residence) for a given entity from a large collection of source documents. In this paper we propose an effective DNN architecture for SF with the following new strategies: (1)... (read more)

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