Ameeta Agrawal

Ameeta Agrawal

Assistant Professor

Department of Computer Science

Portland State University

ameeta at cs.pdx.edu

My primary research interests are in the areas of Natural Language Processing, Machine Learning, and Computational Social Sciences.

Before moving to the gorgeous Pacific Northwest, I was a Postdoctoral Researcher in the Data Mining lab at the Department of Electrical Engineering and Computer Science, York University, Canada, where I also obtained my Ph.D. and MSc. in Computer Science under the supervision of Aijun An.

Recent Updates:

  • [Jun 2021] Our paper (wip) accepted at SmartComp 2021.
  • [Jan 2021] Received a research grant from Cisco Research! ✨
  • [Mar 2021] Kicked off new monthly seminar series in collaboration with Applied Linguistics Department.
  • [Sep 2020] Looking for motivated and hard-working students to join our NLP lab.
  • [Sep 2020] Joined Portland State as Assistant Professor! ✨
  • [Apr 2020] Our paper on sarcasm detection has been accepted at SIGIR 2020.
  • [Apr 2020] Our paper on preprocessing before pretraining accepted at ACL 2020.

Prospective Students: I’m always looking for motivated and hard-working students who want to pursue a Ph.D. degree to join our NLP Group. Please follow the department admission guidelines to apply.

Research

Current research interests:

We’re interested in exploring three broad ideas under the guiding principle of Thoughtful Technology relating to machines, humans, and their interconnection:

  1. Sustainable: how can we develop more sustainable NLP models and what would be the trade-off between sustainability and performance?
  2. Social: human language comes in a myriad of flavors - how can we develop computational models that can work fairly well across broader social dimensions?
  3. Applicable: how can we leverage these language technologies for some real-world/interdisciplinary applications? For instance, can affective dimensions (emotion/sentiment/sarcasm) serve as early indicators of population displacement patterns?

NLP Group

Grad Students

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Olubusayo Olabisi

PhD Student

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Rena Andrews

PhD Student

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Rhitabrat Pokharel

PhD Student

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Steve Braich

MSc Student

Research Interns

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Vikram Nagapudi

Research Intern (high school)

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Willerton Bridges

LSAMP Scholar

Teaching

  • [2021 Fall] CS 410/510 Introduction to Natural Language Processing

  • [2021 Spring] CS 410/510 Adventures in NLP

  • [2021 Winter] CS 410/510 Introduction to Natural Language Processing

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Seminars + Talks

  • Weekly NLP seminars [Schedule]

  • Monthly NLP + Applied Linguistics seminars (w/ Dr. Susan Conrad)

    • [May 21, 2021] Exploring Bridges between NLP and Corpus Linguistics
    • [June 30, 2021] What is Text Complexity?
    • [July 23, 2021] TBA

If you’re interested in attending any of these seminars, you may subscribe to our mailing list.

Publications

Vikram Nagapudi, Ameeta Agrawal, Nirupama Bulusu (2021). Extracting Physical Events from Digital Chatter for Covid-19. To appear in the Proceedings of IEEE International Conference on Smart Computing. SmartComp 2021.

Nastaran Babanejad, Ameeta Agrawal, Aijun An, Manos Papagelis (2020). A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. ACL 2020

Ameeta Agrawal, Aijun An, Manos Papagelis (2020). Leveraging Transitions of Emotions for Sarcasm Detection. Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2020

Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An, Manos Papagelis (2019). Leveraging Emotion Features in News Recommendations. Proceedings of the 8th International Workshop on News Recommendation and Analytics. INRA @ RecSys 2019

Ameeta Agrawal, Aijun An (2018). Affective representations for sarcasm detection. Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. SIGIR 2018

Ameeta Agrawal (2018). Enriching Affect Analysis Through Emotion and Sarcasm Detection. Ph.D. Dissertation

Ameeta Agrawal, Aijun An, Manos Papagelis (2018). Learning emotion-enriched word representations. Proceedings of the 27th International Conference on Computational Linguistics. COLING 2018

Ameeta Agrawal, Raghavender Sahdev, Heidar Davoudi, Forouq Khonsari, Aijun An, Susan McGrath (2016). Detecting the magnitude of events from news articles. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence. WI 2016

Ameeta Agrawal, Aijun An (2016). Selective co-occurrences for word-emotion association. Proceedings of the 26th International Conference on Computational Linguistics. COLING 2016

Ameeta Agrawal, Aijun An (2014). Kea: Sentiment Analysis of Phrases Within Short Texts. Proceedings of the 8th International Workshop on Semantic Evaluation. SemEval 2014

Ameeta Agrawal, Aijun An (2013). Kea: Expression-level sentiment analysis from Twitter data. Second Joint Conference on Lexical and Computational Semantics, Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation. SemEval 2013.

Nikolay Yakovets, Ameeta Agrawal (2013). SimpLe: Lexical Simplification using Word Sense Disambiguation. Computational Approaches to Assistive Technologies for People with Disabilities. Book Chapter

Ameeta Agrawal, Aijun An (2012). Unsupervised emotion detection from text using semantic and syntactic relations. Proceedings of the IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology. WI 2012