Abstract: Event is an important thing that happened or took place at a certain point of time. Important part for the event planning is having an event timeline. This event timeline is a guiding company through tout in the planning process. Lack of timeline leads to missing of important deadlines. This paper focused on event timeline generation in different domains like medicine, education, law enforcement etc. The methods used for extracting events are syntactic, algorithm based and summarization technique. This paper thus discusses respective motivations of these approaches and their advantages and limitations.

Keywords: Co-reference Resolution, Entity Extraction, Event, Natural Language Processing