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Found 4 papers, 1 papers with code
Distantly Supervised Aspect Clustering And Naming For E-Commerce Reviews
While aspect phrases extraction and sentiment analysis have received a lot of attention, clustering of aspect phrases and assigning human readable names to clusters in e-commerce reviews is an extremely important and challenging problem due to the scale of the reviews that makes human review infeasible.
Distantly Supervised Transformers For E-Commerce Product QA
Training with CQA pairs helps our model learning semantic QA relevance and distant supervision enables learning of syntactic features as well as the nuances of user querying language.
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites
Using data from eight stack exchange sites, we are able to improve upon the routing metrics (Precision$@1$, Accuracy, MRR) over the state-of-the-art models such as semantic matching by $159. 5\%$,$31. 84\%$, and $40. 36\%$ for cold questions posted by existing askers, and $123. 1\%$, $27. 03\%$, and $34. 81\%$ for cold questions posted by new askers respectively.
Fast Change Point Detection on Dynamic Social Networks
In this work we devise an effective and efficient three-step-approach for detecting change points in dynamic networks under the snapshot model.
