Search Results for author: Mark Cieliebak

Found 34 papers, 7 papers with code

ZHAW-InIT - Social Media Geolocation at VarDial 2020

no code implementations VarDial (COLING) 2020 Fernando Benites, Manuela Hürlimann, Pius von Däniken, Mark Cieliebak

We describe our approaches for the Social Media Geolocation (SMG) task at the VarDial Evaluation Campaign 2020.

Are We Summarizing the Right Way? A Survey of Dialogue Summarization Data Sets

no code implementations EMNLP (newsum) 2021 Don Tuggener, Margot Mieskes, Jan Deriu, Mark Cieliebak

Dialogue summarization is a long-standing task in the field of NLP, and several data sets with dialogues and associated human-written summaries of different styles exist.

Dialect Transfer for Swiss German Speech Translation

no code implementations13 Oct 2023 Claudio Paonessa, Yanick Schraner, Jan Deriu, Manuela Hürlimann, Manfred Vogel, Mark Cieliebak

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


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

no code implementations6 Jun 2023 Jan Deriu, Pius von Däniken, Don Tuggener, Mark Cieliebak

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 judgments.

Machine Translation Text Generation +1

On the Effectiveness of Automated Metrics for Text Generation Systems

no code implementations24 Oct 2022 Pius von Däniken, Jan Deriu, Don Tuggener, Mark Cieliebak

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.

Text Generation

TRANSLIT: A Large-scale Name Transliteration Resource

no code implementations LREC 2020 Fern Benites, o, Gilbert Fran{\c{c}}ois Duivesteijn, Pius von D{\"a}niken, Mark Cieliebak

Transliteration is the process of expressing a proper name from a source language in the characters of a target language (e. g. from Cyrillic to Latin characters).


Correlating Twitter Language with Community-Level Health Outcomes

1 code implementation WS 2019 Arno Schneuwly, Ralf Grubenmann, Séverine Rion Logean, Mark Cieliebak, Martin Jaggi

We study how language on social media is linked to diseases such as atherosclerotic heart disease (AHD), diabetes and various types of cancer.

Clustering regression +2

Survey on Evaluation Methods for Dialogue Systems

no code implementations10 May 2019 Jan Deriu, Alvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen, Sophie Rosset, Eneko Agirre, Mark Cieliebak

We cover each class by introducing the main technologies developed for the dialogue systems and then by presenting the evaluation methods regarding this class.

Question Answering Task-Oriented Dialogue Systems

Syntactic Manipulation for Generating more Diverse and Interesting Texts

1 code implementation WS 2018 Jan Milan Deriu, Mark Cieliebak

In this work, we present our system for Natural Language Generation where we control various aspects of the surface realization in order to increase the lexical variability of the utterances, such that they sound more diverse and interesting.

Text Generation

A Twitter Corpus and Benchmark Resources for German Sentiment Analysis

no code implementations WS 2017 Mark Cieliebak, Jan Milan Deriu, Dominic Egger, Fatih Uzdilli

We use this new corpus and two existing corpora to provide state-of-the-art benchmarks for sentiment analysis in German: we implemented a CNN (based on the winning system of SemEval-2016) and a feature-based SVM and compare their performance on all three corpora.

Named Entity Recognition (NER) Sentiment Analysis +1

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