Search Results for author: Tannon Kew

Found 5 papers, 0 papers with code

Improving Specificity in Review Response Generation with Data-Driven Data Filtering

no code implementations ECNLP (ACL) 2022 Tannon Kew, Martin Volk

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.

Response Generation Text Generation

ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German

no code implementations VarDial (COLING) 2020 Iuliia Nigmatulina, Tannon Kew, Tanja Samardzic

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

Benchmarking Automated Review Response Generation for the Hospitality Domain

no code implementations EcomNLP (COLING) 2020 Tannon Kew, Michael Amsler, Sarah Ebling

Online customer reviews are of growing importance for many businesses in the hospitality industry, particularly restaurants and hotels.

Domain Adaptation Response Generation

Geotagging a Diachronic Corpus of Alpine Texts: Comparing Distinct Approaches to Toponym Recognition

no code implementations RANLP 2019 Tannon Kew, Anastassia Shaitarova, Isabel Meraner, Janis Goldzycher, Simon Clematide, Martin Volk

Geotagging historic and cultural texts provides valuable access to heritage data, enabling location-based searching and new geographically related discoveries.

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