Topic-based text summaries promise to help average users quickly understand a text collection and derive insights. Recent research has shown that the Latent Dirichlet Allocation (...
The task of identifying the language of text or utterances has a number of applications in natural language processing. Language identification has traditionally been approached w...
Abstract. We describe design and implementation of the linguistic query language DDDquery. This language aims at querying a large linguistic database storing a corpus of richly ann...
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...