title: Natural language processing / text structure analysis starting point
body: <p>I need to parse &amp; process a big set of semi-structured text (basically, legal documents - law texts, addendums to them, treaties, judge's decisions, ...). The most fundamental thing I'm trying to do is extract information on how subparts are structured - chapters, articles, subheadings, ... plus some metadata. My question is if anyone can point me to starting points for this type of text processing, because I'm sure there has been a lot of research into this but what I find is mostly on either parsing something with a strict grammar (like code) or completely free-form text (like google tries to do on webpages). I think if I get hold of the right keywords, I would have more success in google and my journal databases. Thanks.</p>