Search Results for author:
Found 8 papers, 5 papers with code
Benchmarking Automated Review Response Generation for the Hospitality Domain
Online customer reviews are of growing importance for many businesses in the hospitality industry, particularly restaurants and hotels.
A New Dataset and Efficient Baselines for Document-level Text Simplification in German
The task of document-level text simplification is very similar to summarization with the additional difficulty of reducing complexity.
Improving Specificity in Review Response Generation with Data-Driven Data Filtering
In this work we examine the task of generating more specific responses for online reviews in the hospitality domain by identifying generic responses in the training data, filtering them and fine-tuning the generation model.
ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German
A formal comparison shows that the system trained on the normalised transcriptions achieves better results in word error rate (WER) (29. 39%) but underperforms at the character level, suggesting dialectal transcriptions offer a viable solution for downstream applications where dialectal differences are important.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
EMTeC: A Corpus of Eye Movements on Machine-Generated Texts
Moreover, the corpus includes the language models' internals that underlie the generation of the stimulus texts: the transition scores, the attention scores, and the hidden states.
Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?
In experiments across four LLMs, we find that multilingual instruction tuning with as few as two to three languages is both necessary and sufficient to elicit effective cross-lingual generalisation, with the limiting factor being the degree to which a target language is seen during pretraining.
BLESS: Benchmarking Large Language Models on Sentence Simplification
Our performance benchmark will be available as a resource for the development of future TS methods and evaluation metrics.
Geotagging a Diachronic Corpus of Alpine Texts: Comparing Distinct Approaches to Toponym Recognition
Geotagging historic and cultural texts provides valuable access to heritage data, enabling location-based searching and new geographically related discoveries.
