Joint Extraction of Events and Entities within a Document ContextJoint Extraction of Events and Entities within a Document ContextYang, Bishan and Mitchell, Tom M.2016
Paper summarymarekThey propose a joint model for 1) identifying event keywords in a text, 2) identifying entities, and 3) identifying the connections between these events and entities. They also do this across different sentences, jointly for the whole text.
Example of the entity and event annotation that the system is modelling.
The entity detection part is done with a CRF; the structure of an event is learned with a probabilistic graphical model; information is integrated from surrounding sentences using a Stanford coreference system; and these are all tied together across the whole document using Integer Linear Programming.