This is a workflow that is designed especially for use in the UIMA-based U-Compare workbench (see separate META-SHARE record). The workflow is in "ucz" format (specific to U-Compare) and can be imported via the "Import Workflow" item in the "Workflows" menu of the U-Compare interface. It include...

ixa-pipe-ned-ukb is a multilingual Named Entity Disambiguation tool. It is based on UKB (http://ixa2.si.ehu.es/ukb/), a graph-based Word Sense Disambiguation tool. The Wikipedia graph built from the hyperlinks between Wikipedia articles is used for the processing. The input of the tool is ...

ixa-pipe-coref-eu is a Basque coreference resolution tool, which is an adaptation of Stanford Deterministic Coreference Resolution (http://www-nlp.stanford.edu/downloads/dcoref.shtml). This tool reads a text document annotated with lemmas, named entities and constituents formated in Natural La...

ixa-pipe-dep-eu is a Basque dependency parsing tool. It is based on MATE-tools. This tool takes a document in Natural Language Processing Annotation Format (NAF) format (http://wordpress.let.vupr.nl/naf/) and outputs a new NAF document. This tool is partly funded by the European Commission ...

LX-UTagger is a POS tagger for Portuguese that adopts the Universal Part-of-Speech tagset (UPOS), related to the Universal Dependency framework, with an initial performance of 99.06% under a ten-fold cross validation scheme. It is described in this article: António Branco, João Ricardo Silv...

The GENIA tagger analyzes English sentences and outputs the base forms, part-of-speech tags, chunk tags, and named entity tags. The tagger is specifically tuned for biomedical text such as MEDLINE abstracts.

Part-of-speech tagger tuned to biomedical text, provided as a web service.

FORMA is a probabilistic tool for morphological tagging and lemmatization of text. The purpose of this tool is to obtain annotated text to be processed by other NLP tools (see Gonzalez et al., 2006).

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...