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Payam KarisaniEmail: payam.karisani (at) emory (dot) edu |
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I am a graduate student at Emory University. My research is in Natural Language Processing and Machine Learning, I work on topics such as Semi-Supervised Learning, Domain Adaptation, and Active Learning. (This is not a full list) 4. Contextual Multi-View Active Learning for Short Text Classification in User-Generated Data Venue: NAACL 2021 (full paper at the main research track, acceptance rate: <25%) Authors: P. K., N. K., L. X. Link (soon) | Code | Data 3. Semi-Supervised Text Classification via Self-Pretraining Venue: WSDM 2021 (full paper at the main research track, acceptance rate: 18.6%) [Oral] Authors: P. K., N. K. Link | Code 2. Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media Venue: WWW 2020 (full paper at the main research track, acceptance rate: 19.2%) [Oral] Authors: P. K., J. H., E. A. Link 1. Did You Really Just Have a Heart Attack? Towards Robust Detection of Personal Health Mentions in Social Media Venue: WWW 2018 (full paper at the main research track, acceptance rate: 15.0%. Best Paper Runner-Up.) [Oral] Authors: P. K., E. A. Link | Code | Data I have been a reviewer or pc member of NIPS, ICML, ICLR, KDD, AAAI, WWW, ACL, and EMNLP. ![]() ![]() |
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