paper-conference

EduQuick: A Dataset Toward Evaluating Summarization of Informal Educational Content for Social Media
This study explores the capacity of large language models (LLMs) to efficiently generate summaries of informal educational content …
Zahra Kolagar, Sebastian Steindl, Alessandra Zarcone
Bubble up – A Fine-tuning Approach for Style Transfer to Community-specific Subreddit Language
Different online communities (social media bubbles) can be identified with their use of language. We looked at different social media …
Alessandra Zarcone, Fabian Kopf
Poster
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
A bathtub by any other name: the reduction of German compounds in predictive contexts
The Uniform Information Density hypothesis (UID) predicts that lexical choice between long and short word forms depends on the …
Alessandra Zarcone, Vera Demberg
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A bathtub by any other name: the reduction of German compounds in predictive contexts
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
Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering
We present a semi-supervised clustering approach to induce script structure from crowdsourced descriptions of event sequences by …
Lilian D. A. Wanzare, Alessandra Zarcone, Stefan Thater, Manfred Pinkal
PDF Cite Project Project DOI ACL Anthology
Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering