This work suggests a natural language processing approach to web-based cooperative dialogs. It focuses on the user's requests automatically generating language-drive interactions that take into account the context, user feedback, and the initial web search results. The different components of natural language processing in the context of dialog discourse interactions are described. The main results of a working prototype aiming to decrease both the number of conversational turns and the information overload are lastly discussed.
|Translated title of the contribution
|Reducing information overloading on the World Wide Web by using human-computer dialogue interactions
|Number of pages
|Published - 2009