2 citations · 4 across the 10 of their papers we have counts for
4 papers · 1 filter
Pre-training data selection for biomedical domain adaptation using journal impact metrics
Mathieu Laï-king, Patrick Paroubek
Domain adaptation is a widely used method in natural language processing (NLP) to improve the performance of a language model within a specific domain. This method is particularly…
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada +11
User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world. However,…
Chitchat as Interference: Adding User Backstories to Task-Oriented Dialogues
Armand Stricker, Patrick Paroubek
During task-oriented dialogues (TODs), human users naturally introduce chitchat that is beyond the immediate scope of the task, interfering with the flow of the conversation. To ad…
A Unified Approach to Emotion Detection and Task-Oriented Dialogue Modeling
Armand Stricker, Patrick Paroubek
In current text-based task-oriented dialogue (TOD) systems, user emotion detection (ED) is often overlooked or is typically treated as a separate and independent task, requiring ad…