ECoh: Turn-level Coherence Evaluation for Multilingual Dialogues

Fuente: arXiv
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Hauptverfasser: Mendonça, John, Trancoso, Isabel, Lavie, Alon
Format: Preprint
Veröffentlicht: 2024
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author Mendonça, John
Trancoso, Isabel
Lavie, Alon
author_facet Mendonça, John
Trancoso, Isabel
Lavie, Alon
contents Despite being heralded as the new standard for dialogue evaluation, the closed-source nature of GPT-4 poses challenges for the community. Motivated by the need for lightweight, open source, and multilingual dialogue evaluators, this paper introduces GenResCoh (Generated Responses targeting Coherence). GenResCoh is a novel LLM generated dataset comprising over 130k negative and positive responses and accompanying explanations seeded from XDailyDialog and XPersona covering English, French, German, Italian, and Chinese. Leveraging GenResCoh, we propose ECoh (Evaluation of Coherence), a family of evaluators trained to assess response coherence across multiple languages. Experimental results demonstrate that ECoh achieves multilingual detection capabilities superior to the teacher model (GPT-3.5-Turbo) on GenResCoh, despite being based on a much smaller architecture. Furthermore, the explanations provided by ECoh closely align in terms of quality with those generated by the teacher model.
format Preprint
id arxiv_https___arxiv_org_abs_2407_11660
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle ECoh: Turn-level Coherence Evaluation for Multilingual Dialogues
Mendonça, John
Trancoso, Isabel
Lavie, Alon
Computation and Language
Despite being heralded as the new standard for dialogue evaluation, the closed-source nature of GPT-4 poses challenges for the community. Motivated by the need for lightweight, open source, and multilingual dialogue evaluators, this paper introduces GenResCoh (Generated Responses targeting Coherence). GenResCoh is a novel LLM generated dataset comprising over 130k negative and positive responses and accompanying explanations seeded from XDailyDialog and XPersona covering English, French, German, Italian, and Chinese. Leveraging GenResCoh, we propose ECoh (Evaluation of Coherence), a family of evaluators trained to assess response coherence across multiple languages. Experimental results demonstrate that ECoh achieves multilingual detection capabilities superior to the teacher model (GPT-3.5-Turbo) on GenResCoh, despite being based on a much smaller architecture. Furthermore, the explanations provided by ECoh closely align in terms of quality with those generated by the teacher model.
title ECoh: Turn-level Coherence Evaluation for Multilingual Dialogues
topic Computation and Language
url https://arxiv.org/abs/2407.11660