Information representations for natural language processing

Effective representation of textual information is crucial for a number of task in natural language processing. Representations that could decompose different aspects of texts into separate interpretable components are arguably particularly interesting. In this talk we briefly discuss current approaches to this problem as well as bottlenecks that at the moment hinder development of universal and effective information representations applicable for a variety of NLP tasks.