5 papers · 1 filter
LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extraction
Luc Pommeret, Thomas Gerald, Patrick Paroubek +3
Knowledge Graph construction from natural language requires extracting structured triplets from complex, information-dense sentences. In this paper, we investigate if the decomposi…
Evaluation of Clinical Trials Reporting Quality using Large Language Models
Mathieu Laï-king, Patrick Paroubek
Reporting quality is an important topic in clinical trial research articles, as it can impact clinical decisions. In this article, we test the ability of large language models to a…
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…
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…