##URL for workshop date, time, venue, schedule and tickets: https://hasgeek.com/anthillinside/testing-machine-learning-applications-workshop/ more

Rapid progress in NLP Research has seen a swift translation to real world commercial deployment. While a number of success stories of NLP applications have emerged, failures of translating scientific progress in NLP to real-world software have also been considerable (some of these issues are covered in my IJCAI paper https://www.ijcai.org/proceedings/2018/717). Specifically, the challenges and ga… more

Natural Language Processing models are susceptible to learning spurious and shallow patterns in the dataset which does not generalize well to real world data. Given that dataset serves as the proxy for the actual task on hand, often deep learning NLP models learn from the spurious shallow patterns in the dataset instead of solving the actual task on hand. The presence of such non-robust brittle f… more

Rapid progress in NLP Research has seen a swift translation to real world commercial deployment. While a number of success stories of NLP applications have emerged, failures of translating scientific progress in NLP to real-world software have also been considerable. Evaluation of NLP models is often limited to held out test set accuracy on a handful of datasets, and analysis of NLP models is oft… more