We are the Natural Language Processing group (PortNLP) in the
Department of Computer Science at
Portland State University. Our
primary research interests are in the areas of Natural Language Processing, Machine
Learning, and Computational Social Sciences.
In addition to our work at PortNLP, we are also affiliated with the Coco Lab,
a sister research group focused on the intersection of computer science, management, and anthropology.
You can check out our projects and code at
PortNLP.
Recent News
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Apr 2024 📄 Two papers accepted at NAACL 2024 workshop (VarDial).
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Mar 2024 📄 Our paper titled ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalness accepted at LREC-COLING 2024.
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Feb 2024 🎤 We’ll be presenting our work on efficient conversation modeling at Towards Ethical and Inclusive Conversational AI (TEICAI) Workshop @ EACL 2024.
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Jan 2024 👏 Congratulations Aravind (and Prof. Agrawal) for the best paper award! The paper on Narrating Causal Graphs with Large Language Models was recently presented at HICSS 2024.
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Oct 2023 📄 One Paper Accepted at Findings of EMNLP and another at the Multilingual Representation Learning (MRL) Workshop @ EMNLP 2023!
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Sep 2023 🤝 A warm welcome to the new PhD students: Amber Shore, Andy Dang, and Ellyn Ayton!
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Aug 2023 ✨ We’re grateful for two NSF grants on HNDS-R: Understanding Drivers of Trust in Cryptocurrency Using Big Data and Ethnographic Approaches and EAGER: Re-imagining the Role of Humans in Security Education.
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Jul 2023 📄 Our paper titled All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration accepted at DSAA 2023!
Research Group
Faculty
Ameeta Agrawal
Assistant Professor
Current Students
Russell Scheinberg
PhD
Interpretability
Erik Conser
PhD
Multimodal Model
Andy Dang
PhD
Ellyn Ayton
PhD
Past Students
Aaron Hudson
(MS)
Steve Braich
(MS)
Michael Ridenour
(UG)
Junyi Feng
(UG)
Willenton Bridges
(UG)
Justin J. Xie
[Top 300 Regeneron Scholars] (HS)
Vikram Nagapudi
(HS)
Sponsors
We gratefully acknowlege support from our funding agencies: Cisco and NSF [2246174].
