We present a novel approach to natural language generation (NLG) that applies hierarchical reinforcement learning to text generation in the wayfinding domain. Our approach aims to...
How to endow case-based reasoning systems with effective case adaptation capabilities is a classic problem. A significant impediment to developing automated adaptation procedures i...
This paper investigates the effectiveness of online temporal language model adaptation when applied to a Thai broadcast news transcription task. Our adaptation scheme works as fol...
: This paper presents a novel adaptive course composition system that based on mashing up learning content in a web application. The system includes three major components, static ...
—As a result of the wide spread of new efficient mobile communication devices, users are more and more willing to find on these devices (PDAs, Smartphones, etc) applications si...
Amir Krifa, Mohamed Karim Sbai, Chadi Barakat, Thi...