Multitask Learning for Query Segmentation in Job Search
ICTIR, pp. 179-182, 2018.
In this paper, we present the first attempt to use multitask learning for query segmentation. We use the semantic category of the words as an auxiliary task and show that segmentation improves when the model is also trained to predict the semantic category of the query terms, outperforming benchmark methods over a novel dataset from a pop...More
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