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...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies tokens in plain text and assigns parts-of-speech Tools in workflow: MLRS POS Tagger web service (University of Malta) NOTE: The licence provided covers the web service only. To...
Part-of-speech tagger tuned to biomedical text. The tool is provided as a UIMA component, which forms part of the in-built library of components provided with the U-Compare platform (see separate META-SHARE record) for building and evaluating text mining workflows. The U-Compare Workbench (se...
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...
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. The tool is provided as a UIMA component, which forms part of the in-built library of...
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.
TinySVM is an implementation of Support Vector Machines (SVMs) (Vapnik, 1995; Vapnik, 1998) for the problem of pattern recognition.