Abstract
Numerous important events happen everyday and everywhere but are reported in different media sources with different narrative styles. How to detect whether real-world events have been reported in articles and posts is one of the main tasks of event extraction. Other tasks include extracting event arguments and identifying their roles, as well as clustering and tracking similar events from different texts. As one of the most important research themes in natural language processing and understanding, event extraction has a wide range of applications in diverse domains and has been intensively researched for decades. This article provides a comprehensive yet up-to-date survey for event extraction from text. We not only summarize the task definitions, data sources and performance evaluations for event extraction, but also provide a taxonomy for its solution approaches. In each solution group, we provide detailed analysis for the most representative methods, especially their origins, basics, strengths and weaknesses. Last, we also present our envisions about future research directions.
Highlights
An event is a specific occurrence of something that happens in a certain time and a certain place involving one or more participants, which can frequently be described as a change of state [1]
EVENT EXTRACTION BASED ON PATTERN MATCHING The earlier approaches for event extraction are a kind of pattern matching technique, which first constructs some specific event templates, and performs template matching to extract an event with a single argument from text
Event extraction is an important task in natural language processing, with the objectives of detecting whether sentences have mentioned some real-world event, and if so, classifying event types and identifying event arguments
Summary
An event is a specific occurrence of something that happens in a certain time and a certain place involving one or more participants, which can frequently be described as a change of state [1]. To prompt the developments and applications of event extraction, many public evaluation programs have been conducted to provide task definitions, annotated corpora as well as open contests to promote information extraction research like event extraction, which have been attracting many talents to contribute novel algorithms, techniques and systems. Wang: Survey of Event Extraction From Text program for information extraction, which was organized and sponsored by the Defense Advanced Research Projects Agency (DARPA).. Wang: Survey of Event Extraction From Text program for information extraction, which was organized and sponsored by the Defense Advanced Research Projects Agency (DARPA).1 It had held for seven times from 1987 to 1997. Compared with the aforementioned articles, we try to provide a more comprehensive survey and systematic technique taxonomy for event extraction from text, providing its task definitions, data sources and performance evaluations, and categorizing the main approaches from the viewpoint of its whole development history.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
