Research output per year
Research output per year
Personal profile
Research Interests
I develop computational models of natural language learning, understanding and generation in people and machines, and my research focuses on basic scientific, mathematical, and engineering problems related to these models. I am especially interested in models that handle the diversity of morphological, syntactic, and semantic phenomena across the world’s languages.
Qualifications
Ph.D. 2008. University of Maryland Department of Computer Science. Advisor: Philip Resnik. Dissertation: Machine Translation by Pattern Matching.
M.S. 2002. University of Maryland Department of Computer Science.
B.S. 1997. Duke University Department of Computer Science.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification
Grivas, A., Vergari, A. & Lopez, A., 24 Mar 2024, Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence: AAAI Technical Track on Machine Learning II. 11 ed. AAAI Press, Vol. 38. p. 12208-12216 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 11).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models
Saphra, N., Fleisig, E., Cho, K. & Lopez, A., 13 Mar 2024, (Accepted/In press) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, 17 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Human Temporal Inferences Go Beyond Aspectual Class
Pruś, K., Steedman, M. & Lopez, A., 1 Mar 2024, Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). Graham, Y. & Purver, M. (eds.). St. Julian's, Malta: Association for Computational Linguistics, p. 1913-1923 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis
Goldfarb-Tarrant, S., Ross, B. & Lopez, A., 6 Dec 2023, The 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 5691–5704 14 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages
Goldfarb-Tarrant, S., Lopez, A., Blanco, R. & Marcheggiani, D., 1 Jul 2023, Findings of the Association for Computational Linguistics: ACL 2023. Rogers, A., Boyd-Graber, J. & Okazaki, N. (eds.). Toronto, Canada: Association for Computational Linguistics, p. 4458-4468 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile