Search Results for author: Quynh Do

Found 5 papers, 0 papers with code

The impact of domain-specific representations on BERT-based multi-domain spoken language understanding

no code implementations EACL (AdaptNLP) 2021 Judith Gaspers, Quynh Do, Tobias Röding, Melanie Bradford

This paper provides the first experimental study on the impact of using domain-specific representations on a BERT-based multi-task spoken language understanding (SLU) model for multi-domain applications.

Classification domain classification +6

To What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?

no code implementations COLING 2020 Quynh Do, Judith Gaspers, Tobias Roding, Melanie Bradford

This paper addresses the question as to what degree a BERT-based multilingual Spoken Language Understanding (SLU) model can transfer knowledge across languages.

Spoken Language Understanding

Data balancing for boosting performance of low-frequency classes in Spoken Language Understanding

no code implementations6 Aug 2020 Judith Gaspers, Quynh Do, Fabian Triefenbach

Despite the fact that data imbalance is becoming more and more common in real-world Spoken Language Understanding (SLU) applications, it has not been studied extensively in the literature.

intent-classification Intent Classification +4

Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding

no code implementations IJCNLP 2019 Quynh Do, Judith Gaspers

A typical cross-lingual transfer learning approach boosting model performance on a language is to pre-train the model on all available supervised data from another language.

Cross-Lingual Transfer Language Modelling +2

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