Corpus-based design of a Web 2.0 Assisting Agent
Evandro Manara Miletto, Jean‐Paul Sansonnet, Marcelo Soares Pimenta, Francois D. Bouchet · 2009
We present an approach to facilitate the design of Assisting Conversational Agents dedicated to the Function of Assistance to ordinary people interacting in Natural Language with assisting agents on Web 2.0 pages. For each new assisted RIA, an experiment is carried out to collect a specific corpus of textual questions. It is then analyzed to exhibit the specific linguistic entities of the application required by the generic skeleton of the agent. Using a real large-scale example of a cooperative music prototyping application, we study the feasibility and evaluate the cost-effectiveness of this approach.