Abstract: A system and method for generating event timelines by analyzing natural language texts from a textual dataset is provided. In one or more examples, the systems and methods can ingest a textual dataset and generate a visual timeline that illustrates the sequence of events contained within the textual dataset and approximately when in time each event in the textual dataset occurred. In one or more examples, machine learning classifiers can be employed to automatically extract event trigger words and time mentions in the textual dataset and anchor the extracted event trigger words to points in time expressed on the timeline. Machine learning classifiers can be employed to extract event trigger words from the textual dataset, relate the extracted event trigger words to one or more time mentions in the textual dataset, and to relate the extracted event trigger words to one or more document creation times found within the textual dataset.

Abstract: A system and method for generating event timelines by analyzing natural language texts from a textual dataset is provided. In one or more examples, the systems and methods can ingest a textual dataset and generate a visual timeline that illustrates the sequence of events contained within the textual dataset and approximately when in time each event in the textual dataset occurred. In one or more examples, machine learning classifiers can be employed to automatically extract event trigger words and time mentions in the textual dataset and anchor the extracted event trigger words to points in time expressed on the timeline. Machine learning classifiers can be employed to extract event trigger words from the textual dataset, relate the extracted event trigger words to one or more time mentions in the textual dataset, and to relate the extracted event trigger words to one or more document creation times found within the textual dataset.