Shweta Yadav

Orcid: 0000-0003-0001-4464

Affiliations:
  • University of Illinois Chicago, IL, USA
  • U. S. National Library of Medicine, LHNCBC, MD, USA (former)
  • University of South Carolina, Columbia, SC, USA (former)
  • Wright State University, Dayton, OH, USA (former)
  • Indian Institute of Technology Patna, Bihar, India (PhD)


According to our database1, Shweta Yadav authored at least 40 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
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PhD thesis 
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Links

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Bibliography

2023
Towards enhancing emotion recognition via multimodal framework.
J. Intell. Fuzzy Syst., 2023

Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning.
Proceedings of the ACM Web Conference 2023, 2023

Partisan US News Media Representations of Syrian Refugees.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Towards Identifying Fine-Grained Depression Symptoms from Memes.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Relation Extraction From Biomedical and Clinical Text: Unified Multitask Learning Framework.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Question-aware transformer models for consumer health question summarization.
J. Biomed. Informatics, 2022

Partisan US News Media Representations of Syrian Refugees.
CoRR, 2022

CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization.
CoRR, 2022

How Is Vaping Framed on Online Knowledge Dissemination Platforms?
Proceedings of the Social, Cultural, and Behavioral Modeling, 2022

Detecting Optimism in Tweets using Knowledge Distillation and Linguistic Analysis of Optimism.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

US News and Social Media Framing Around Vaping.
Proceedings of the Computational Data and Social Networks - 11th International Conference, 2022

Towards Enhancing Health Coaching Dialogue in Low-Resource Settings.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Towards Summarizing Healthcare Questions in Low-Resource Setting.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
NLM at MEDIQA 2021: Transfer Learning-based Approaches for Consumer Question and Multi-Answer Summarization.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Exploring Disorder-Aware Attention for Clinical Event Extraction.
ACM Trans. Multim. Comput. Commun. Appl., 2020

"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction.
CoRR, 2020

Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework.
CoRR, 2020

eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Assessing the Severity of Health States based on Social Media Posts.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Knowledge-infused Deep Learning.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Medical Knowledge-enriched Textual Entailment Framework.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Feature assisted stacked attentive shortest dependency path based Bi-LSTM model for protein-protein interaction.
Knowl. Based Syst., 2019

Information theoretic-PSO-based feature selection: an application in biomedical entity extraction.
Knowl. Inf. Syst., 2019

Relation extraction between the clinical entities based on the shortest dependency path based LSTM.
CoRR, 2019

Global trends, local harms: availability of fentanyl-type drugs on the dark web and accidental overdoses in Ohio.
Comput. Math. Organ. Theory, 2019

A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Feature selection for entity extraction from multiple biomedical corpora: A PSO-based approach.
Soft Comput., 2018

Leveraging Medical Sentiment to Understand Patients Health on Social Media.
CoRR, 2018

Feature Assisted bi-directional LSTM Model for Protein-Protein Interaction Identification from Biomedical Texts.
CoRR, 2018

Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Medical Sentiment Analysis using Social Media: Towards building a Patient Assisted System.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2017
Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
A deep learning architecture for protein-protein Interaction Article identification.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A Recurrent Neural Network Architecture for De-identifying Clinical Records.
Proceedings of the 13th International Conference on Natural Language Processing, 2016

A Hybrid Approach for Entity Extraction in Code-Mixed Social Media Data.
Proceedings of the Working notes of FIRE 2016, 2016

Deep Learning Architecture for Patient Data De-identification in Clinical Records.
Proceedings of the Clinical Natural Language Processing Workshop, 2016

2015
PSO-ASent: Feature Selection Using Particle Swarm Optimization for Aspect Based Sentiment Analysis.
Proceedings of the Natural Language Processing and Information Systems, 2015


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