If an NLG system needs to be put in place as soon as possible it is not always possible to know in advance who the us-ers of a system are or what kind of in-formation will interest them. This paper describes the development of a system and contextualized text for unknown us-ers. We describe the development, design and initial findings with a system for un-known users that allows the users to de-sign their own contextualised text.
Abstract. In recent years, research into user centric and personalized applications has focused on t...
National audienceThis paper presents a work on a comparison between a user model and user's behavior...
An increasing number of systems use contextual information about their users. Such contextual inform...
We describe a methodology for deriving content selection rules for NLG applications that aim to repl...
It is a truism of NLG that good knowledge of the reader can improve the quality of generated texts, ...
Trigger-Action Platforms (TAPs) are systems that enable users to automate routine tasks, such as tur...
Abstract—There are millions of public posts to medical message boards by users seeking support and i...
Text data collections enable the deployment of artificial intelligence algorithms for novel tasks. S...
Context: To provide privacy-aware software systems, it is crucial to consider privacy from the very ...
We present work in progress aiming to build tools for the normalization of User-Generated Content (U...
We present work in progress aiming to build tools for the normalization of User-Generated Content (U...
An increasing number systems use contextual information about their users. Such contextual informati...
As computers are increasingly more integrated into our daily lives we become more dependent on softw...
The analysis of text-based user-generated content (UGC) on the Web has become one highly acclaimed t...
Social media content represents a large portion of all textual content appearing\ud on the Internet....
Abstract. In recent years, research into user centric and personalized applications has focused on t...
National audienceThis paper presents a work on a comparison between a user model and user's behavior...
An increasing number of systems use contextual information about their users. Such contextual inform...
We describe a methodology for deriving content selection rules for NLG applications that aim to repl...
It is a truism of NLG that good knowledge of the reader can improve the quality of generated texts, ...
Trigger-Action Platforms (TAPs) are systems that enable users to automate routine tasks, such as tur...
Abstract—There are millions of public posts to medical message boards by users seeking support and i...
Text data collections enable the deployment of artificial intelligence algorithms for novel tasks. S...
Context: To provide privacy-aware software systems, it is crucial to consider privacy from the very ...
We present work in progress aiming to build tools for the normalization of User-Generated Content (U...
We present work in progress aiming to build tools for the normalization of User-Generated Content (U...
An increasing number systems use contextual information about their users. Such contextual informati...
As computers are increasingly more integrated into our daily lives we become more dependent on softw...
The analysis of text-based user-generated content (UGC) on the Web has become one highly acclaimed t...
Social media content represents a large portion of all textual content appearing\ud on the Internet....
Abstract. In recent years, research into user centric and personalized applications has focused on t...
National audienceThis paper presents a work on a comparison between a user model and user's behavior...
An increasing number of systems use contextual information about their users. Such contextual inform...