Shama Rashid
A Visual Interface for Browsing and Summarizing Conversations
In collaboration with Dr. Giuseppe Carenini, Dr. Gabriel Murray, and Dr.
Raymond Ng
In this talk we'll present a visual interactive interface to create
focused summaries of human conversations. Our interface allows the user to
explore these conversations and identify informative sentences by their
association with nodes of interest on the visual representation of an
ontology. The ontology includes nodes for the conversation participants,
for Dialog Act (DA) properties such as decision, action-item or
subjectivity, as well as for entities mentioned in the conversation. The
classifiers used to annotate conversation data with DA properties and
entities tags can be applied to any conversational modality including face
to face meetings, emails, blogs and chats. The sentences selected by the
user, by mapping to these ontology concepts, as potentially important
component of the summary can then be used to derive a brief and focused
overview of the conversation.