63-70
ReaderBench Talk: Online Conversations Empowered by Advanced NLP Techniques
Authors: Andrei Mardale, Gabriel Gutu-Robu, Mihai Dascălu, Ștefan Trăușan-Matu
Number of views: 235
With the increased need of communication, Computer-Supported Collaborative Learning has gained a broader attention within the last years. Thus, the necessity of using chat applications emerged; however, most solutions lack the integration of Natural Language Processing (NLP) services in order to provide support and guidance, while discussing. Our novel application Talk is integrated within the ReaderBench framework and is defined by three main
features: asynchronous messages specific to chats,
automated bots for enhancing participants’ involvement and
interactions, as well as the usage of advanced NLP
functionalities for a posteriori evaluations. ReaderBench
Talk communicates with the framework through a dedicated
endpoint built within the ReaderBench API. As preliminary
validation, two assignments were given to students from our
faculty. Overall, students were able to solve the tasks without encountering critical bugs and they also provided valuable feedback. Their feedback revealed the usefulness of the application, its ease of use, the persistency of data, and the quality of the NLP services. The feedback also helped identify issues, which were mainly related to the user interface and to the communication with the server.