In current paper we discuss the results of preliminary, but promising, research on including some Natural Language Processing (NLP) and Machine Learning (ML) approaches into Information Retrieval. Classical IR uses indexing and term weighting in order to increase pertinence of answers given to users queries. Such approach allows for matching the meaning, i.e. matching all keywords of the same or very similar meaning as expressed in user query. For most cases this approach is sufficient enough to fulfil user information needs.