data-centric

Instruction-tuned QwenChart for Chart Question Answering
Charts, where information is delivered holistically by visual and textual features, represent a challenge when it comes to downstream …
Viviana Ventura, Lukas Kleybolte, Alessandra Zarcone
Poster
Instruction-tuned QwenChart for Chart Question Answering
Investigating Methods for Mapping Learning Objectives to Bloom's Revised Taxonomy in Course Descriptions for Higher Education
Aligning Learning Objectives (LOs) in course descriptions with educational frameworks such as Bloom’s revised taxonomy is an important …
Zahra Kolagar, Alessandra Zarcone
Poster
Investigating Methods for Mapping Learning Objectives to Bloom's Revised Taxonomy in Course Descriptions for Higher Education
Including a contemporary NLP application within an introductory course: an example with student feedback from a University of Applied Sciences
The recent extensive media coverage of Large Language Models and their applications like ChatGPT have created an unprecedented …
Saurabh Kumar, Alessandra Zarcone
Poster
Including a contemporary NLP application within an introductory course: an example with student feedback from a University of Applied Sciences
GiCCS: A German in-Context Conversational Similarity Benchmark
The Semantic textual similarity (STS) task is commonly used to evaluate the semantic representations that language models (LMs) learn …
Shima Asaadi, Zahra Kolagar, Alina Liebel, Alessandra Zarcone
PDF Cite Dataset Project Poster ACL Anthology
Small Data in NLU: Proposals towards a Data-Centric Approach
Domain-specific voice assistants often suffer from the problem of data scarcity. Publicly available, annotated datasets are in short …
Alessandra Zarcone, Jens Lehmann, Emanuël A.P. Habets
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Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification
Incremental intent classification requires the assignment of intent labels to partial utterances. However, partial utterances do not …
Lianna Hrycyk, Alessandra Zarcone, Luzian Hahn
PDF Cite Dataset Project Poster ACL Anthology
Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification
Crowdsourcing ecologically-valid dialogue data for German
Despite their increasing success, user interactions with smart speech assistants (SAs) are still very limited compared to human-human …
Yannick Frommherz, Alessandra Zarcone
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Crowdsourcing ecologically-valid dialogue data for German
CROWDSS: A crowdsourced, ecologically-valid dialogue dataset for German
Despite their increasing success, user interactions with smart speech assistants (SAs) are still very limited compared to human-human …
Yannick Frommherz, Alessandra Zarcone
Cite Dataset DOI Paper
CROWDSS: A crowdsourced, ecologically-valid dialogue dataset for German
inCLINC: incremental intent annotations of the CLINC dataset
Despite their increasing success, user interactions with smart speech assistants (SAs) are still very limited compared to human-human …
Lianna Hrycyk, Alessandra Zarcone, Luzian Hahn
Cite Dataset DOI Paper