DiZer 2.0 is a web interface for discourse parsing. It is based on DiZer (Pardo and Nunes, 2008), the first discourse parser for Brazilian Portuguese. The system aims at producing the discourse structure of a source text following the Rhetorical Structure Theory – RST (Mann and Thompson, 1987), o...

Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Performs discourse parsing on plain text. Also identifies sentences, tokens, parts of speech, lemmas, clauses and coreference chains Tools in workflow: UAIC-POSTagger, UAIC-NPChunker, UAI...

CSTParser is a multi-document discourse parser. Based on machine learning techniques and hand-crafted rules, the system identifies a set of relations predicted by CST (Cross-document Structure Theory) among sentences of different texts on the same topic.