data-centric

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