Grounding our work on those previous findings, we go even further and hypothesize that the background knowledge required during text reading, and which impacts the conceptual complexity of the text, can be estimated by analyzing such networked knowledge resources.
news articles are well known for their abundance in named entities, therefore semantic networks based on lexical resources cannot cover much of the required background knowledge for news understanding.