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20172026
most citedSurvey on Evaluation Methods for Dialogue Systems

215 citations · 229 across the 19 of their papers we have counts for

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19 papers · 1 filter

cs.CL2026

CRITICS - Critical Science Without Borders: Language Models to Promote Critical Thinking in Science Education

Rodrigo Agerri, Itziar Aldabe, Elena Cabrio +10

The CRITICS project addresses science accessibility and literacy by converging advanced Machine Translation (MT) based on Large Language Models (LLMs) with educational technology.…

cs.CL2026

Your Voice Cloning System is Secretly a Voice Anonymizer

Romolo Muletta, Felix Matthias Saaro, Mark Cieliebak +1

Speaker anonymization suppresses speaker-identifying attributes from speech while preserving linguistic content and quality. We propose repurposing XTTSv2, a multilingual voice clo…

cs.CL2026

The RAT: A Unified Bayesian Model for RAG Evaluation

Pius von Däniken, Felix Matthias Saaro, Mark Cieliebak +1

Evaluating Retrieval-Augmented Generation (RAG) systems requires assessing not only end-to-end correctness but also how individual components interact and how errors propagate thro…

cs.CL2025

SwissGPC v1.0 -- The Swiss German Podcasts Corpus

Samuel Stucki, Mark Cieliebak, Jan Deriu

We present SwissGPC v1.0, the first mid-to-large-scale corpus of spontaneous Swiss German speech, developed to support research in ASR, TTS, dialect identification, and related fie…

cs.CL2025

Voice Adaptation for Swiss German

Samuel Stucki, Jan Deriu, Mark Cieliebak

This work investigates the performance of Voice Adaptation models for Swiss German dialects, i.e., translating Standard German text to Swiss German dialect speech. For this, we pre…

cs.CL2025

ViClaim: A Multilingual Multilabel Dataset for Automatic Claim Detection in Videos

Patrick Giedemann, Pius von Däniken, Jan Deriu +3

The growing influence of video content as a medium for communication and misinformation underscores the urgent need for effective tools to analyze claims in multilingual and multi-…

cs.CL2024

A Measure of the System Dependence of Automated Metrics

Pius von Däniken, Jan Deriu, Mark Cieliebak

Automated metrics for Machine Translation have made significant progress, with the goal of replacing expensive and time-consuming human evaluations. These metrics are typically ass…

cs.CL2024★ 1 cited

Error-preserving Automatic Speech Recognition of Young English Learners' Language

Janick Michot, Manuela Hürlimann, Jan Deriu +3

One of the central skills that language learners need to practice is speaking the language. Currently, students in school do not get enough speaking opportunities and lack conversa…

cs.CL2023★ 2 cited

Dialect Transfer for Swiss German Speech Translation

Claudio Paonessa, Yanick Schraner, Jan Deriu +3

This paper investigates the challenges in building Swiss German speech translation systems, specifically focusing on the impact of dialect diversity and differences between Swiss G…

cs.CL2023

Correction of Errors in Preference Ratings from Automated Metrics for Text Generation

Jan Deriu, Pius von Däniken, Don Tuggener +1

A major challenge in the field of Text Generation is evaluation: Human evaluations are cost-intensive, and automated metrics often display considerable disagreement with human judg…

cs.CL2023

STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions

Michel Plüss, Jan Deriu, Yanick Schraner +8

We present STT4SG-350 (Speech-to-Text for Swiss German), a corpus of Swiss German speech, annotated with Standard German text at the sentence level. The data is collected using a w…

cs.CL2023★ 4 cited

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP

Anya Belz, Craig Thomson, Ehud Reiter +39

We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human evaluations in NLP more/le…

cs.CL2022

On the Effectiveness of Automated Metrics for Text Generation Systems

Pius von Däniken, Jan Deriu, Don Tuggener +1

A major challenge in the field of Text Generation is evaluation because we lack a sound theory that can be leveraged to extract guidelines for evaluation campaigns. In this work, w…

cs.CL2022

SDS-200: A Swiss German Speech to Standard German Text Corpus

Michel Plüss, Manuela Hürlimann, Marc Cuny +10

We present SDS-200, a corpus of Swiss German dialectal speech with Standard German text translations, annotated with dialect, age, and gender information of the speakers. The datas…

cs.CL2020

DoQA -- Accessing Domain-Specific FAQs via Conversational QA

Jon Ander Campos, Arantxa Otegi, Aitor Soroa +3

The goal of this work is to build conversational Question Answering (QA) interfaces for the large body of domain-specific information available in FAQ sites. We present DoQA, a dat…

cs.CL2019

Correlating Twitter Language with Community-Level Health Outcomes

Arno Schneuwly, Ralf Grubenmann, Séverine Rion Logean +2

We study how language on social media is linked to diseases such as atherosclerotic heart disease (AHD), diabetes and various types of cancer. Our proposed model leverages state-of…

cs.CL2019

Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks

Ahmad Aghaebrahimian, Mark Cieliebak

We report our ongoing work about a new deep architecture working in tandem with a statistical test procedure for jointly training texts and their label descriptions for multi-label…

cs.CL2019★ 215 cited

Survey on Evaluation Methods for Dialogue Systems

Jan Deriu, Alvaro Rodrigo, Arantxa Otegi +4

In this paper we survey the methods and concepts developed for the evaluation of dialogue systems. Evaluation is a crucial part during the development process. Often, dialogue syst…

cs.CL2017

Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification

Jan Deriu, Aurelien Lucchi, Valeria De Luca +5

This paper presents a novel approach for multi-lingual sentiment classification in short texts. This is a challenging task as the amount of training data in languages other than En…