Dhanasekar Sundararaman

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 19

Top Topics

Retrieval Model

Machine Translation

Natural Language

Top Venues

Publications

Vivek Subramanian, Dhanasekar Sundararaman
How do lexical semantics affect translation? An empirical study. CoRR (2022)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
Number Entity Recognition. CoRR (2022)
Dhanasekar Sundararaman, Vivek Subramanian
Exploring Gender Bias in Retrieval Models. CoRR (2022)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
Improving Downstream Task Performance by Treating Numbers as Entities. CIKM (2022)
Dhanasekar Sundararaman, Nikhil Mehta, Lawrence Carin
Pseudo-OOD training for robust language models. CoRR (2022)
Dhanasekar Sundararaman, Henry Tsai, Kuang-Huei Lee, Iulia Turc, Lawrence Carin
Learning Task Sampling Policy for Multitask Learning. EMNLP (Findings) (2021)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops (2021)
Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin
Methods for Numeracy-Preserving Word Embeddings. EMNLP (1) (2020)
Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin
Learning Compressed Sentence Representations for On-Device Text Processing. ACL (1) (2019)
Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin
Learning Compressed Sentence Representations for On-Device Text Processing. CoRR (2019)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. CoRR (2019)
Dhanasekar Sundararaman, Priya Arora, Vishwanath Seshagiri
TweetIT: analyzing topics for Twitter users to garner maximum attention. ICMLSC (2018)
Dhanasekar Sundararaman, Vishwanath Seshagiri, Balaji Ramesh, Priya Arora
YouTree: A Visualization Paradigm of Statistically and Textually Similar Videos. ICCMS (2018)
Dhanasekar Sundararaman, Gowtham Ravichandran, R. Jagadeesh, Sasirekha Selvakumar, I. Joe Louis Paul, Sankaranarayanan Swamynathan
Customizable Vehicle Tracking with Intelligent Prediction System. I3E (2017)
Nabarun Pal, Priya Arora, Dhanasekar Sundararaman, Puneet Kohli, Sai Sumanth Palakurthy
How much is my car worth? A methodology for predicting used cars prices using Random Forest. CoRR (2017)
Dhanasekar Sundararaman, Sudharshan Srinivasan
Twigraph: Discovering and Visualizing Influential Words Between Twitter Profiles. SocInfo (2) (2017)
Dhanasekar Sundararaman, Nabarun Pal, Aashish Kumar Misraa
An analysis of non-immigrant work visas in the USA using Machine Learning. CoRR (2017)
Dhanasekar Sundararaman, Priya Arora, Vishwanath Seshagiri
TweetIT- Analyzing Topics for Twitter Users to garner Maximum Attention. CoRR (2017)
Dhanasekar Sundararaman, Sudharshan Srinivasan
Twigraph: Discovering and Visualizing Influential Words between Twitter Profiles. CoRR (2017)