activity
20172022
most citedNetwork Representation Learning: Consolidation and Renewed Bearing

9 citations · 13 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CL20222 cited

UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus

Thilini Wijesiriwardene, Vinh Nguyen, Goonmeet Bajaj +7

The UMLS Metathesaurus integrates more than 200 biomedical source vocabularies. During the Metathesaurus construction process, synonymous terms are clustered into concepts by human…

cs.CL2021

Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus

Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene +5

The current UMLS (Unified Medical Language System) Metathesaurus construction process for integrating over 200 biomedical source vocabularies is expensive and error-prone as it rel…

cs.CL2020

Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing

Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt +3

Visual Question Answering (VQA) systems are tasked with answering natural language questions corresponding to a presented image. Traditional VQA datasets typically contain question…

cs.IR2019

Automatic Table completion using Knowledge Base

Bortik Bandyopadhyay, Xiang Deng, Goonmeet Bajaj +2

Table is a popular data format to organize and present relational information. Users often have to manually compose tables when gathering their desiderate information (e.g., entiti…

cs.LG20199 cited

Network Representation Learning: Consolidation and Renewed Bearing

Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan +9

Graphs are a natural abstraction for many problems where nodes represent entities and edges represent a relationship across entities. An important area of research that has emerged…

cs.CY20192 cited

Fusing Visual, Textual and Connectivity Clues for Studying Mental Health

Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj +5

With ubiquity of social media platforms, millions of people are sharing their online persona by expressing their thoughts, moods, emotions, feelings, and even their daily struggles…