▪ Jan 2023: Our paper, Low-Resource Compositional Semantic Parsing with Concept Pretraining, was accepted at EACL 2023.
▪ Sep 2022: I started work as an Applied Scientist at Amazon Alexa AI.
▪ Jul 2022: I successfully defended my doctoral dissertation at UMass Amherst!
▪ May 2022: I successfully proposed my doctoral dissertation ( pdf, slides) at UMass Amherst. My committee consists of Andrew McCallum, Mohit Iyyer, Andrew Lan, and Konstantine Arkoudas.
▪ Apr 2022: Our paper, Training Naturalized Semantic Parsers with Very Little Data, was accepted at IJCAI 2022.
▪ Feb 2021: I presented a poster on my internship work at AAAI 2021.
▪ Dec 2020: My internship work at Alexa in 2020, Exploring Transfer Learning for End-to-End Spoken Language Understanding, was accepted at AAAI 2021.
▪ Sep 2020: Our paper, Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders, was accepted at EMNLP 2020.
▪ Sep 2020: Our paper, Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings, was accepted at EMNLP Findings 2020.
▪ Feb 2020: Our paper, Learning Latent Space Representations to Predict Patient Outcomes, was accepted at JMIR.
▪ Feb 2020: My internship work on improving Alexa commands was featured on Venturebeat.
▪ Jan 2020: My internship work at Alexa in 2019, Don’t Parse, Generate! A Seq to Seq Architecture for Task-Oriented Semantic Parsing, was accepted at WWW 2020.
▪ Nov 2019: I presented a poster about my summer internship work at Amazon Research Day 2019.
▪ Jul 2019: I was awarded the Sudha and Rajesh Jha Scholarship for 2019 at CICS, UMass Amherst.