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Dr. Anna Feldman, professor, holds a joint appointment in Linguistics and Computer Science at Montclair State. She received the PhD in Linguistics from Ohio State University.
Dr. Feldman's research interests have centered around resource-light morphology and, more recently, automatic idiom recognition. She is the recipient of eight National Science Foundation grants and is the first author, with Jirka Hana, of A Resource-Light Approach to Morphological Tagging.
Research interests
Resource-light morphology and, more recently, automatic idiom recognition
Scholarly Interests
Computational linguistics; Natural Language Processing; Corpus Linguistics.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SaTC: CORE: Medium: Collaborative: A Linguistically-Informed Approach for Measuring and Circumventing Internet Censorship
15/08/17 → 31/07/23
Project: Research
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WORKSHOP ON NATURAL LANGUAGE PROCESSING FOR INTERNET FREEDOM
National Science Foundation (NSF)
1/04/18 → 31/03/19
Project: Research
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COLLABORATIVE RESEARCH: IMPROVED VEHICLE AUTONOMY IN GEOPHYSICAL FLOWS
National Science Foundation (NSF)
1/06/14 → 31/05/15
Project: Research
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CATs are Fuzzy PETs: A Corpus and Analysis of Potentially Euphemistic Terms
Gavidia, M., Lee, P., Feldman, A. & Peng, J., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 2658-2671 14 p. (2022 Language Resources and Evaluation Conference, LREC 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms
Lee, P., Gavidia, M., Feldman, A. & Peng, J., 2022, UnImplicit 2022 - 2nd Workshop on Understanding Implicit and Underspecified Language, Proceedings of the Workshop. Pyatkin, V., Fried, D. & Anthonio, T. (eds.). Association for Computational Linguistics (ACL), p. 22-32 11 p. (UnImplicit 2022 - 2nd Workshop on Understanding Implicit and Underspecified Language, Proceedings of the Workshop).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
Shaar, S., Alam, F., Da San Martino, G., Nikolov, A., Zaghouani, W., Nakov, P. & Feldman, A., 2021, NLP4IF 2021 - NLP for Internet Freedom: Censorship, Disinformation, and Propaganda, Proceedings of the 4th Workshop. Feldman, A., Da San Martino, G., Leberknight, C. & Nakov, P. (eds.). Association for Computational Linguistics (ACL), p. 82-92 11 p. (NLP4IF 2021 - NLP for Internet Freedom: Censorship, Disinformation, and Propaganda, Proceedings of the 4th Workshop).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
22 Scopus citations -
Preface
Feldman, A., Da San Martino, G., Leberknight, C. & Nakov, P., 2021, In: NLP4IF 2021 - NLP for Internet Freedom: Censorship, Disinformation, and Propaganda, Proceedings of the 4th Workshop. p. III-IVResearch output: Contribution to journal › Editorial
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Linguistic fingerprints of internet censorship: The case of sina weibo
Ng, K. Y., Feldman, A. & Peng, J., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 446-453 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations