Towards Extracting Semantic Information from Texts

摘要

This paper presents the general architecture of a system which creates a map of semantic information around a named entity (Person, Organization, etc.). Thus, after the user specifies a named entity, the system searches on the web and returns the first 200 web pages containing the specified entity, applies semantic roles on the returned paragraphs, and extracts a map of related actions involving the searched entity. This map of actions can then be chronologically ordered, thus illustrating the actions a certain entity has performed in a specific time frame (or at least the way it is reflected by the online world).