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Parminder Bhatia

37 papers hereh-index 211.8k citations49 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author22
  • last author7

Across the 36 of 37 papers where every author was matched, so the position is known.

fields
  • cs.CL23
  • cs.LG8
  • cs.IR3
  • cs.CV1
  • cs.SI1
  • stat.ML1
same name
  • Parminder Bhatia — 17 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152024
most citedImproving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning

62 citations · 285 across the 35 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019★ 4 cited

LATTE: Latent Type Modeling for Biomedical Entity Linking

Ming Zhu, Busra Celikkaya, Parminder Bhatia +1

Entity linking is the task of linking mentions of named entities in natural language text, to entities in a curated knowledge-base. This is of significant importance in the biomedi…

cs.CL2019

Towards Annotating and Creating Sub-Sentence Summary Highlights

Kristjan Arumae, Parminder Bhatia, Fei Liu

Highlighting is a powerful tool to pick out important content and emphasize. Creating summary highlights at the sub-sentence level is particularly desirable, because sub-sentences…

cs.CL2019★ 3 cited

Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service

Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia +1

Comprehend Medical is a stateless and Health Insurance Portability and Accountability Act (HIPAA) eligible Named Entity Recognition (NER) and Relationship Extraction (RE) service l…

cs.CL2019★ 3 cited

Relation Extraction using Explicit Context Conditioning

Gaurav Singh, Parminder Bhatia

Relation Extraction (RE) aims to label relations between groups of marked entities in raw text. Most current RE models learn context-aware representations of the target entities th…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.