Goonmeet Bajaj

Orcid: 0000-0003-0182-9200

According to our database1, Goonmeet Bajaj authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Grounding From an AI and Cognitive Science Lens.
IEEE Intell. Syst., 2024

2022
Knowledge Gaps: A Challenge for Agent-Based Automatic Task Completion.
Top. Cogn. Sci., 2022

Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress.
Trans. Mach. Learn. Res., 2022

UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus.
CoRR, 2022

Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus.
CoRR, 2021

Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2020
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Automatic Table completion using Knowledge Base.
CoRR, 2019

Network Representation Learning: Consolidation and Renewed Bearing.
CoRR, 2019

Fusing Visual, Textual and Connectivity Clues for Studying Mental Health.
CoRR, 2019

2018
Mental Health Analysis Via Social Media Data.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2017
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017


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