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P. Přibáň

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#natural language process... Preprint Aug 2026

Generative Models Enhanced by Sequence Labelling and Aspect-Code Switching Improve Cross-lingual Aspect-Based Sentiment Analysis

A novel SeqLab framework is proposed that enhances cross-lingual ABSA using a sequence-to-sequence model with an auxiliary sequence-labelling task performed by the encoder, enhancing aspect term recognition and sentiment predictions.

Jakub Šmíd, P. Přibáň, Pavel Král · 0 citations