Abstract:
In this paper we give a brief overview of the state of the art in information extraction of time aspects from natural language texts. We introduce the main steps of such analysis. We analyze TimeML experience in event and time annotation. We study human interpretation of temporal expressions in the Russian-language news texts. (In Russian).
Key words and phrases:automatic information extraction, modal aspect, temporal information, temporal expressions, confusing temporal expressions, markup.