Foundations of statistical natural language processing
Foundations of statistical natural language processing
Concept formation as knowledge accumulation: A computational linguistics study
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Group Cognition: Computer Support for Building Collaborative Knowledge (Acting with Technology)
Group Cognition: Computer Support for Building Collaborative Knowledge (Acting with Technology)
ASAP- An Advanced System for Assessing Chat Participants
AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications
Automatic assessment of collaborative chat conversations with PolyCAFe
EC-TEL'11 Proceedings of the 6th European conference on Technology enhanced learning: towards ubiquitous learning
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
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Chat-like conversations are very popular and are often used by members of communities of practice to share ideas, propose solutions and to solve problems. With the advent and increasing popularity of Computer Supported Collaborative Learning (CSCL), chat conversations have also started to be used in a formal educational setting. However, the main problem when tutors tried to assess their students' chat conversations is that this process is very difficult and time consuming. Therefore, several efforts have been undertaken during the last years to develop a tool that supports the analysis of collaborative chat conversations used in an educational context. In this paper, we propose a solution based on Natural Language Processing (NLP), Social Network Analysis (SNA) and Latent Semantic Analysis (LSA) that can be used for several tasks: assessment of utterances and participants, important topics visualization, summarization and semantic search. Furthermore, a summary with the key findings from the first validation round of using this approach is presented.