activity
20182020
most citedTo What Degree Can Language Borders Be Blurred In BERT-based Multilingual Spoken Language Understanding?

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL20201 cited

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

Quynh Do, Judith Gaspers, Tobias Roding +1

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

eess.AS2020

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

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 lit…

cs.CL2019

Cross-lingual transfer learning for spoken language understanding

Quynh Ngoc Thi Do, Judith Gaspers

Typically, spoken language understanding (SLU) models are trained on annotated data which are costly to gather. Aiming to reduce data needs for bootstrapping a SLU system for a new…

cs.CL2018

Neural Named Entity Recognition from Subword Units

Abdalghani Abujabal, Judith Gaspers

Named entity recognition (NER) is a vital task in spoken language understanding, which aims to identify mentions of named entities in text e.g., from transcribed speech. Existing n…

cs.CL2018

Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System

Judith Gaspers, Penny Karanasou, Rajen Chatterjee

This paper investigates the use of Machine Translation (MT) to bootstrap a Natural Language Understanding (NLU) system for a new language for the use case of a large-scale voice-co…