paper-conference

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
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
PDF Cite Project
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
PDF Cite Project Slides Video escholarship
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