9 citations · 17 across the 8 of their papers we have counts for
8 papers
Grounding from an AI and Cognitive Science Lens
Goonmeet Bajaj, Srinivasan Parthasarathy, Valerie L. Shalin +1
Grounding is a challenging problem, requiring a formal definition and different levels of abstraction. This article explores grounding from both cognitive science and machine learn…
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…
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…
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…
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…
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…
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…
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi +5
With the rise of social media, millions of people are routinely expressing their moods, feelings, and daily struggles with mental health issues on social media platforms like Twitt…