ADAM - Bootstrapping a Deep Neural Network Sequence Labeling Model with minimal labelling

Deep Learning based models have achieved high accuracy on Named Entity Recognition tasks for natural language datasets. However, their efficacy on practical domain-specific data, like product titles, is often subpar due to several challenges - 1) labeled data is scarce or unavailable; 2) noise in the form of spelling errors, missing tokens, abbreviations etc.; 3) variance in structure (as it is not a natural language, hence no grammar); 4) manual labelling is costly. In this talk, I will talk about how at C