3 citations · 8 across the 9 of their papers we have counts for
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cs.CL2019
A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings
Lahari Poddar, Gyorgy Szarvas, Lea Frermann
The meaning of a word often varies depending on its usage in different domains. The standard word embedding models struggle to represent this variation, as they learn a single glob…
cs.CL2019
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering
Lahari Poddar, Leonardo Neves, William Brendel +3
Tracking user reported bugs requires considerable engineering effort in going through many repetitive reports and assigning them to the correct teams. This paper proposes a neural…