Abhilasha Sancheti

Ph.D. in Computer Science

University of Maryland, College Park

About

I am a second year Ph.D. student at the Computer Science Department of University of Maryland, College Park. Before joining the university, I was working as a Research Associate at Adobe Research, Bangalore, India. My research interest lies at the intersection of Natural Language Processing and Machine Learning. Recent advances in the area of Neural Text Generation have opened up many opportunities. I am specifically interested in generating text with controlled sentiments and style.

I graduated from IIT Guwahati in 2017 with a major in Computer Science.

Link to Resume

Interests

Natural Language Processing
Machine Learning
Artificial Intelligence

Education

Ph.D. in Computer Science

University of Maryland, College Park
B.Tech. in Computer Science and Engineering, 2017

Indian Institute of Technology Guwahati

Recent Publications

Samarth Aggarwal, Rohin Garg, Abhilasha Sancheti, Bhanu Prakash Reddy Guda, and Iftikhar Ahamath Burhanuddin. Goal-driven Command Recommendations for Analysts In Proceedings of the 14th ACM Conference on Recommender Systems (RecSys) , 2020.

PDF PPT

Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, and Anandhavelu Natrajan. Reinforced Rewards Framework for Text Style Transfer In European Conference on Information Retrieval Springer, Cham, 2020.

PDF PPT

Abhilasha Sancheti, Natwar Modani, Gautam Choudhary, Chinta Priyardarshini and Sai Sandeep Moparthi. Understanding Documents Through the Lens of Reader's Comments Conference on Computational Linguistics and Intelligent Text Processing, Computación y Sistemas, 23(3) 2019.

PDF POSTER

Abhilasha Sancheti, Paridhi Maheshwari, Rajat Chaturvedi, Anish V. Monsy, Tanya Goyal and Balaji Vasan Srinivasan.. Harvesting Knowledge from Cultural Heritage Artifacts in Museums of India. In: Phung D., Tseng V., Webb G., Ho B., Ganji M., Rashidi L. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD, 2018.

PDF PPT

Biswarup Bhattacharya, Iftikhar Ahamath Burhanuddin, Abhilasha Sancheti and Kushal Satya. Intent-Aware Contextual Recommendation System In Data Mining Workshops (ICDMW), 17th IEEE International Conference on Data Mining (pp. 1-8) 2017.

PDF PPT

Co-authored Patents

Expressive Text-to-Speech utilizing Contextual Word-level Style Tokens
US Patent
Status: FILED

Intent-based Command Recommendation generation in an Analytic System
US Patent
Status: FILED

Method and System for Recommending Digital Content
US Patent
Status: FILED

Systems and methods for transferring stylistic expressions in machine translation of sequence data
US Patent
Status: FILED

Constructing enterprise-specifc knowledge graphs
US Patent Application No. 15928288
Status: PUBLISHED Document

Context-aware personal assistant for Analysts
US Patent Application No. 15594394
Status: PUBLISHED Document