Student Projects/Concept map
Concept maps are pictorial representation of any content. It is very useful for summarising any content which are important. It is mainly a tool used for the purpose of revising any difficult or easy content. Concept maps can be easily remembered and helps in saving time during revision of a topic.
Concept maps are visual summaries structured as directed graphs : important concepts from a dataset are displayed as vertexes, and edges between vertexes show natural language description of the relationships between the concepts on the map.
Preliminary attempts at automatically creating a concept maps have focused on building static summaries. However, in interactive settings, users will need to dynamically investigate particular relationships between pairs of concepts. For instance, a historian using a concept map browser might decide to investigate the relationship between two politicians in a news archive. We present a model which responds to such queries by returning one or more short,importance-ranked , natural language descriptions of the relationship between two requested concepts, for display in a visual interface. Our model is trained on a new public data set, collected for this task.