EVENT EXTRACTION FROM NATURAL LANGUAGE TEXT

Extraction and representation of events plays an important role in solving many natural Language processing applications, namely questioning answering system, named entity Recognition, text summarization etc. Events are defined as happening or Situations that occur in the real world. Several methods were defined to annotate the events manually. This paper aim to provide a framework that automatically extract and represent the events that occur in the natural language text. Experiments were conducted on TIME BANK Corpus which consist of nes articles. Most of the events were extracted by our method when compared with other events extraction methods, the results of our method were found to be encouraging.