Payam Karisani

Orcid: 0000-0002-7756-3608

According to our database1, Payam Karisani authored at least 21 papers between 2014 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent.
CoRR, 2024

Name Tagging Under Domain Shift via Metric Learning for Life Sciences.
CoRR, 2024

Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Fact Checking Beyond Training Set.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Ericson: An Interactive Open-Domain Conversational Search Agent.
CoRR, 2023

Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Deep Learning-Based Time Series Forecasting.
CoRR, 2022

Multi-View Active Learning for Short Text Classification in User-Generated Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Contextual Multi-View Query Learning for Short Text Classification in User-Generated Data.
CoRR, 2021

Semi-Supervised Text Classification via Self-Pretraining.
Proceedings of the WSDM '21, 2021

View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data.
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

2020
Mining Coronavirus (COVID-19) Posts in Social Media.
CoRR, 2020

Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2018
Probabilistic and machine learning-based retrieval approaches for biomedical dataset retrieval.
Database J. Biol. Databases Curation, 2018

Did You Really Just Have a Heart Attack?: Towards Robust Detection of Personal Health Mentions in Social Media.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2016
OLFinder: Finding opinion leaders in online social networks.
J. Inf. Sci., 2016

A query term re-weighting approach using document similarity.
Inf. Process. Manag., 2016

2015
Tweet Expansion Method for Filtering Task in Twitter.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2015

2014
University of Tehran at RepLab 2014.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014


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