Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation
empirical methods in natural language processing, pp. 2588-2597, 2017.
One weakness of machine-learned NLP models is that they typically perform poorly on out-of-domain data. In this work, we study the task of identifying products being bought and sold in online cybercrime forums, which exhibits particularly challenging cross-domain effects. We formulate a task that represents a hybrid of slot-filling inform...More
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