NLU

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
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
New Domain, Major Effort? How Much Data is Necessary to Adapt a Temporal Tagger to the Voice Assistant Domain
Reliable tagging of Temporal Expressions (TEs, e.g., Book a table at L’Osteria for Sunday evening) is a central requirement for Voice …
Touhidul Alam, Alessandra Zarcone, Sebastian Padó
PDF Cite Project Poster Video ACL Anthology
New Domain, Major Effort? How Much Data is Necessary to Adapt a Temporal Tagger to the Voice Assistant Domain
PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain
The recognition and automatic annotation of temporal expressions (e.g. “Add an event for tomorrow evening at eight to my calendar”) is …
Alessandra Zarcone, Touhidul Alam, Zahra Kolagar
PDF Cite Dataset ACL Anthology
PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain