Machine Learning Approach for the Automatic Annotation of Events

摘要

After the beginning of the extension of current Web towards the semantics, the annotation starts to take a significant role, since it takes part to give the semantic aspect to the different types of documents. With the proliferation of news articles from thousands of different sources now available on the Web, summarization of such information is becoming increasingly important. We will define a methodological approach to extract the events from the news articles and to annotate them according to the principal events which they contain. Considering the large number of news source (for examples, BBC, Reuters, CNN…), every day, thousands of articles are produced in the entire world concerning a given event. This is why we have to think to automate the process of annotation of such articles.