12 citations · 18 across the 3 of their papers we have counts for
5 papers
Can Open Domain Question Answering Systems Answer Visual Knowledge Questions?
Jiawen Zhang, Abhijit Mishra, Avinesh P. V. S +2
The task of Outside Knowledge Visual Question Answering (OKVQA) requires an automatic system to answer natural language questions about pictures and images using external knowledge…
Model Stability with Continuous Data Updates
Huiting Liu, Avinesh P. V. S., Siddharth Patwardhan +2
In this paper, we study the "stability" of machine learning (ML) models within the context of larger, complex NLP systems with continuous training data updates. For this study, we…
Annotating Electronic Medical Records for Question Answering
Preethi Raghavan, Siddharth Patwardhan, Jennifer J. Liang +1
Our research is in the relatively unexplored area of question answering technologies for patient-specific questions over their electronic health records. A large dataset of human e…
Addressing Limited Data for Textual Entailment Across Domains
Chaitanya Shivade, Preethi Raghavan, Siddharth Patwardhan
We seek to address the lack of labeled data (and high cost of annotation) for textual entailment in some domains. To that end, we first create (for experimental purposes) an entail…
The Role of Context Types and Dimensionality in Learning Word Embeddings
Oren Melamud, David McClosky, Siddharth Patwardhan +1
We provide the first extensive evaluation of how using different types of context to learn skip-gram word embeddings affects performance on a wide range of intrinsic and extrinsic…