Scholarly Works per year
Scholarly Works per year
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Dive into the research topics where Steven John Bethard is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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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A survey on geocoding: algorithms and datasets for toponym resolution
Zhang, Z. & Bethard, S., 2024, (Accepted/In press) In: Language Resources and Evaluation.Research output: Contribution to journal › Article › peer-review
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Examining the Dynamics of Uncivil Discourse Between Sub-National Political Officials and the Public on Twitter
Barbati, J. L., Rains, S. A., Kenski, K., Shmargad, Y., Bethard, S. & Coe, K., 2024, (Accepted/In press) In: Mass Communication and Society.Research output: Contribution to journal › Article › peer-review
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Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries
Zhang, Z., Laparra, E. & Bethard, S., 2024, p. 35-44. 10 p.Research output: Contribution to conference › Paper › peer-review
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INCIVILITY IN 2020 PRESIDENTIAL CANDIDATE SOCIAL MEDIA POSTS AND POSTS THAT CITE THEM
Kenski, K., Rains, S. A., Shmargad, Y., Coe, K. & Bethard, S., Jan 1 2024, Social Media Politics: Digital Discord in the 2020 Presidential Election. Taylor and Francis, p. 44-62 19 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Message from the Program Chairs
Duh, K., Gomez, H. & Bethard, S., 2024, In: Findings of the Association for Computational Linguistics: NAACL 2024 - Findings. p. v-viiResearch output: Contribution to journal › Editorial › peer-review
Grants
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Extended Methods and Software Development for Health NLP
Bethard, S. J. (CoPI)
Project: Research project
Datasets
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SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing
Laparra, E. (Contributor), Su, X. (Contributor), Zhao, Y. (Contributor), Uzuner, Ö. (Contributor), Miller, T. A. (Contributor) & Bethard, S. (Contributor), ZENODO, Jul 24 2021
DOI: 10.5281/zenodo.5132956, https://zenodo.org/record/5132956
Dataset
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Lessons Learned from a Secondary Analysis Using Natural Language Processing and Machine Learning from a Lifestyle Intervention
Freylersythe, S. (Creator), Sharp, R. (Creator), Culnan, J. (Creator), Romero Diaz, D. Y. (Creator), Bethard, S. J. (Creator) & Crane, T. E. (Creator), University of Arizona Research Data Repository, 2022
DOI: 10.25422/azu.data.19576069.v1, https://arizona.figshare.com/articles/poster/Lessons_Learned_from_a_Secondary_Analysis_Using_Natural_Language_Processing_and_Machine_Learning_from_a_Lifestyle_Intervention/19576069/1
Dataset
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CUILESS2016: a clinical corpus applying compositional normalization of text mentions
Osborne, J. D. (Creator), Neu, M. B. (Creator), Danila, M. I. (Creator), Solorio, T. (Creator) & Bethard, S. J. (Creator), figshare, 2018
DOI: 10.6084/m9.figshare.c.3972579, https://figshare.com/collections/CUILESS2016_a_clinical_corpus_applying_compositional_normalization_of_text_mentions/3972579
Dataset
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CUILESS2016: a clinical corpus applying compositional normalization of text mentions
Osborne, J. D. (Creator), Neu, M. B. (Creator), Danila, M. I. (Creator), Solorio, T. (Creator) & Bethard, S. J. (Creator), figshare, 2018
DOI: 10.6084/m9.figshare.c.3972579.v1, https://figshare.com/collections/CUILESS2016_a_clinical_corpus_applying_compositional_normalization_of_text_mentions/3972579/1
Dataset