10 citations · 21 across the 7 of their papers we have counts for
13 papers
CST5: Data Augmentation for Code-Switched Semantic Parsing
Anmol Agarwal, Jigar Gupta, Rahul Goel +3
Extending semantic parsers to code-switched input has been a challenging problem, primarily due to a lack of supervised training data. In this work, we introduce CST5, a new data a…
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning
Geunseob Oh, Rahul Goel, Chris Hidey +4
Semantic parsing (SP) is a core component of modern virtual assistants like Google Assistant and Amazon Alexa. While sequence-to-sequence-based auto-regressive (AR) approaches are…
TableFormer: Robust Transformer Modeling for Table-Text Encoding
Jingfeng Yang, Aditya Gupta, Shyam Upadhyay +3
Understanding tables is an important aspect of natural language understanding. Existing models for table understanding require linearization of the table structure, where row or co…
Pre-Trained Language Transformers are Universal Image Classifiers
Rahul Goel, Modar Sulaiman, Kimia Noorbakhsh +4
Facial images disclose many hidden personal traits such as age, gender, race, health, emotion, and psychology. Understanding these traits will help to classify the people in differ…
Do Facial Trait Correlates with Roll Call Voting in Parliament? Using fWHR to Study Performance in Politics
Rahul Goel, Tymofii Brik, Rajesh Sharma
Research has shown that people recognize and select leaders based on their facial appearance. However, considering the correlation between the performance of leaders and their faci…
Misinformation Detection on YouTube Using Video Captions
Raj Jagtap, Abhinav Kumar, Rahul Goel +3
Millions of people use platforms such as YouTube, Facebook, Twitter, and other mass media. Due to the accessibility of these platforms, they are often used to establish a narrative…