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Alexander Hoyle
Alexander Hoyle
PhD candiate in computer science, University of Maryland
Verified email at umd.edu - Homepage
Title
Cited by
Cited by
Year
Is automated topic model evaluation broken? The incoherence of coherence
A Hoyle, P Goel, A Hian-Cheong, D Peskov, J Boyd-Graber, P Resnik
Advances in neural information processing systems 34, 2018-2033, 2021
113*2021
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
A Hoyle, L Wolf-Sonkin, H Wallach, I Augenstein, R Cotterell
Annual Meeting of the Association for Computational Linguistics 1, 2019
602019
Evaluation examples are not equally informative: How should that change NLP leaderboards?
P Rodriguez, J Barrow, AM Hoyle, JP Lalor, R Jia, J Boyd-Graber
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
582021
Improving Neural Topic Models using Knowledge Distillation
A Hoyle, P Goel, P Resnik
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
412020
Promoting Graph Awareness in Linearized Graph-to-Text Generation
A Hoyle, A Marasović, NA Smith
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
222021
Are Neural Topic Models Broken?
A Hoyle, P Goel, R Sarkar, P Resnik
Findings of the Association for Computational Linguistics: EMNLP 2022, 5321–5344, 2022
142022
Combining Sentiment Lexica with a Multi-View Variational Autoencoder
A Hoyle, L Wolf-Sonkin, H Wallach, R Cotterell, I Augenstein
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
72019
Re-visiting automated topic model evaluation with large language models
D Stammbach, V Zouhar, A Hoyle, M Sachan, E Ash
arXiv preprint arXiv:2305.12152, 2023
62023
TopicGPT: A prompt-based topic modeling framework
CM Pham, A Hoyle, S Sun, M Iyyer
arXiv preprint arXiv:2311.01449, 2023
52023
Natural Language Decompositions of Implicit Content Enable Better Text Representations
A Hoyle, R Sarkar, P Goel, P Resnik
arXiv preprint arXiv:2305.14583, 2023
3*2023
Do we still need BERT in the age of GPT? Comparing the benefits of domain-adaptation and in-context-learning approaches to using LLMs for Political Science Research
M Bosley, M Jacobs-Harukawa, H Licht, A Hoyle
32023
Do You Walk the Walk, Talk the Talk, or Tweet the Tweet? Legislators’ Ideal Points Across Venues
SRW Gaynor, K Miler, P Goel, AM Hoyle, P Resnik
Working paper, 2022
32022
A Step-by-Step Protocol for Curation of Topic Models by Subject Matter Experts
P Resnik, P Goel, A Hoyle, R Sarkar, J Hagedorn, M Gearing, C Bruce
Conference on New Directions in Analyzing Text as Data (TADA), 2022
2022
Voting the District or Talking the District?
SR Gaynor, K Miler, P Resnik, P Goel, A Hoyle
Women in Legislative Studies, 2022
2022
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