Dhanasekar Sundararaman

According to our database, Dhanasekar Sundararaman authored at least 16 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Pseudo-OOD training for robust language models.

Dhanasekar Sundararaman, Nikhil Mehta, Lawrence Carin

CoRR, 2022

Exploring Gender Bias in Retrieval Models.

Dhanasekar Sundararaman, Vivek Subramanian

CoRR, 2022

Number Entity Recognition.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin

CoRR, 2022

How do lexical semantics affect translation? An empirical study.

Vivek Subramanian, Dhanasekar Sundararaman

CoRR, 2022

Improving Downstream Task Performance by Treating Numbers as Entities.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Learning Task Sampling Policy for Multitask Learning.

Dhanasekar Sundararaman, Henry Tsai, Kuang-Huei Lee, Iulia Turc, Lawrence Carin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Syntactic Knowledge-Infused Transformer and BERT Models.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

2020

Methods for Numeracy-Preserving Word Embeddings.

Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin

CoRR, 2019

Learning Compressed Sentence Representations for On-Device Text Processing.

Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

TweetIT: analyzing topics for Twitter users to garner maximum attention.

Dhanasekar Sundararaman, Priya Arora, Vishwanath Seshagiri

Proceedings of the 2nd International Conference on Machine Learning and Soft Computing, 2018

YouTree: A Visualization Paradigm of Statistically and Textually Similar Videos.

Dhanasekar Sundararaman, Vishwanath Seshagiri, Balaji Ramesh, Priya Arora

Proceedings of the 10th International Conference on Computer Modeling and Simulation, 2018

2017

An analysis of non-immigrant work visas in the USA using Machine Learning.

Dhanasekar Sundararaman, Nabarun Pal, Aashish Kumar Misraa

CoRR, 2017

How much is my car worth? A methodology for predicting used cars prices using Random Forest.

Nabarun Pal, Priya Arora, Dhanasekar Sundararaman, Puneet Kohli, Sai Sumanth Palakurthy

CoRR, 2017

Twigraph: Discovering and Visualizing Influential Words Between Twitter Profiles.

Dhanasekar Sundararaman, Sudharshan Srinivasan

Proceedings of the Social Informatics, 2017

Customizable Vehicle Tracking with Intelligent Prediction System.

Dhanasekar Sundararaman, Gowtham Ravichandran, R. Jagadeesh, Sasirekha Selvakumar, I. Joe Louis Paul, Sankaranarayanan Swamynathan

Proceedings of the Digital Nations - Smart Cities, Innovation, and Sustainability, 2017