Zobrazeno 1 - 10
of 981
pro vyhledávání: '"A, Hicke"'
Does the People's Republic of China (PRC) interfere with European elections through ethnic Chinese diaspora media? This question forms the basis of an ongoing research project exploring how PRC narratives about European elections are represented in C
Externí odkaz:
http://arxiv.org/abs/2410.12791
Metaphors are everywhere. They appear extensively across all domains of natural language, from the most sophisticated poetry to seemingly dry academic prose. A significant body of research in the cognitive science of language argues for the existence
Externí odkaz:
http://arxiv.org/abs/2410.08991
Focalization, the perspective through which narrative is presented, is encoded via a wide range of lexico-grammatical features and is subject to reader interpretation. Moreover, trained readers regularly disagree on interpretations, suggesting that t
Externí odkaz:
http://arxiv.org/abs/2409.11390
Large Language Models (LLMs) are increasingly adopted in educational contexts to provide personalized support to students and teachers. The unprecedented capacity of LLM-based applications to understand and generate natural language can potentially i
Externí odkaz:
http://arxiv.org/abs/2407.11203
Autor:
Hicke, Rebecca M. M., Mimno, David
Coreference annotation and resolution is a vital component of computational literary studies. However, it has previously been difficult to build high quality systems for fiction. Coreference requires complicated structured outputs, and literary text
Externí odkaz:
http://arxiv.org/abs/2401.17922
Publikováno v:
NeurIPS Workshop on Generative AI for Education (GAIED), 2023
Responding to the thousands of student questions on online QA platforms each semester has a considerable human cost, particularly in computing courses with rapidly growing enrollments. To address the challenges of scalable and intelligent question-an
Externí odkaz:
http://arxiv.org/abs/2311.02775
Autor:
Hicke, Rebecca M. M., Mimno, David
Large language models have shown breakthrough potential in many NLP domains. Here we consider their use for stylometry, specifically authorship identification in Early Modern English drama. We find both promising and concerning results; LLMs are able
Externí odkaz:
http://arxiv.org/abs/2310.18454
Autor:
Alex W. Dye, Rachel M. Houtman, Peng Gao, William R. L. Anderegg, Christopher J. Fettig, Jeffrey A. Hicke, John B. Kim, Christopher J. Still, Kevin Young, Karin L. Riley
Publikováno v:
Carbon Balance and Management, Vol 19, Iss 1, Pp 1-25 (2024)
Abstract In this review, we discuss current research on forest carbon risk from natural disturbance under climate change for the United States, with emphasis on advancements in analytical mapping and modeling tools that have potential to drive resear
Externí odkaz:
https://doaj.org/article/d0ba62db4aa244e68526f122238d39f8
Publikováno v:
LAK23: Workshop on Partnerships for Cocreating Educational Content, 2023
Automated Essay scoring has been explored as a research and industry problem for over 50 years. It has drawn a lot of attention from the NLP community because of its clear educational value as a research area that can engender the creation of valuabl
Externí odkaz:
http://arxiv.org/abs/2307.04276
Publikováno v:
ACL, Innovative Use of NLP for Building Educational Applications Workshop, 2023
(Tack et al., 2023) organized the shared task hosted by the 18th Workshop on Innovative Use of NLP for Building Educational Applications on generation of teacher language in educational dialogues. Following the structure of the shared task, in this s
Externí odkaz:
http://arxiv.org/abs/2307.04274