BibTeX

@misc{munozsanchez-etal-2025-proceedings-348545,
	title        = {Proceedings of the 14th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2025)},
	abstract     = {The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language
Learning (NLP4CALL) is a meeting place for researchers working on integrating Natural Lan-
guage Processing and Speech Technologies in CALL systems and exploring the theoretical and
methodological issues arising in this connection. The latter includes, among others, the in-
tegration of insights from Second Language Acquisition (SLA) research and the promotion of
“Computational SLA” through setting up Second Language research infrastructures.
The intersection of Natural Language Processing (or Language Technology / Computational
Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings
“understanding” of language to CALL tools, thus making CALL intelligent. This fact has in-
spired the name for this area of research — Intelligent CALL, ICALL for short. As the definition
suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech
Technology, ICALL researchers need good insights into second language acquisition theories and
practices, as well as knowledge of second language pedagogy and didactics. Therefore, this work-
shop invites a wide range of ICALL-relevant research, including studies where NLP-enriched
tools are used for testing SLA and pedagogical theories, and those where SLA theories (peda-
gogical practices or empirical data) and modeled using ICALL tools. The NLP4CALL workshop
series is aimed at bringing together competences from these areas for sharing experiences and
brainstorming around the future of the field.},
	author       = {Muñoz Sánchez, Ricardo and Alfter, David and Volodina, Elena and Kallas, Jelena},
	year         = {2025},
	publisher    = {University of Tartu Library},
	address      = {Tartu, Estonia},
	ISBN         = {978-9908-53-112-0},
}

@article{fridlund-etal-2025--349767,
	title        = {人文主义人工智能：一个跨学科的专业知识与研究新领域},
	abstract     = {The Gothenburg Research Infrastructure in Digital Humanities (GRIDH) have participated in projects within various humanities fields that utilise as well as develop research tools and infrastructural resources that incorporate applications of ‘artificial intelligence’ (AI). These applications can include natural language processing, machine learning, computer vision, large language models, image recognition algorithms, classification, clustering, and deep learning. This paper advances the term ‘humanistic AI’ to describe an emergent form of interdisciplinary practice that uses and develops AI-based research applications to answer humanities research questions together with its entangled humanistic reflection. We coin this term to make implicit and visible the epistemological and material particularities of its practice and the new forms of knowledge its affordances make possible. The paper presents GRIDH projects within ‘humanistic AI’ together with its developed AI resources and applications.},
	journal      = {数字人文研究 / Digital Humanities Research},
	author       = {Fridlund, Mats and Alfter, David and Brodén, Daniel and Green, Ashely and Karimi, Aram and Lindhé, Cecilia},
	year         = {2025},
	volume       = {5},
	number       = {1},
	pages        = {3--10},
}

@inProceedings{alfter-appelgren-2025-grasp-344268,
	title        = {GRASP at the CoMeDi 2025 shared task: Multi-Strategy Modeling of Annotator Behavior in Multi-Lingual Semantic Judgments},
	booktitle    = {Proceedings of the Workshop on Context and Meaning — Navigating Disagreements in NLP Annotations, January 19, 2025, Abu Dhabi, UAE / Michael Roth, Dominik Schlechtweg (Editors)},
	author       = {Alfter, David and Appelgren, Mattias},
	year         = {2025},
	publisher    = {International Committee on Computational Linguistics},
	ISBN         = { 979-8-89176-202-2},
	pages        = {78–89},
}