Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies sentences in plain text Tools in workflow: Freeling sentence splitter web service (service provided by the PANACEA project) NOTE: The licence provided covers the web service o...

Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies NP chunks in plain text. Also carries out sentence splitting, tokenisation and POS tagging Tools in workflow: MLRS Sentence Splitter (University of Malta), UAIC-POSTagger, UAIC-...

Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies co-reference chains in plain text. Also identifies sentences, tokens with parts-of-speech and lemmas, and NP chunks Tools in workflow: TTL-Tokenizer (RACAI, Romania), TTL-Tagger...

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...

Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies clauses/segments in plain text. Also identifies sentences, tokens, POS tags and lemmas. Tools in workflow: Cafetiere Sentence Splitter (University of Manchester), TTL Tokenizer...

The present tool, that was built to deal with specific issues concerning orthographic conventions adopted for Portuguese, marks sentence boundaries with <s>…</s>, and paragraph boundaries with <p>…</p>. Unwraps sentences split over different lines. A f-score of 99.94% was obtained when testing o...

SENTER is a SENtence splitTER for Portuguese.

Based on the MXPOST part of speech tagger and UNITEX dictionaries for Portuguese, this tool produces the lemmas of the words of a text stored in a plain text file. The source code is also provided.

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.

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...