The resource constitues of a hierarchically-structured system of data types, which is intended to be suitable for describing the inputs and output annotation types of a wide range of natural language processing applications which operate within the UIMA Framework. It is being developed in conjunc...
This inventory contains a set of terms that are relevant to the study of medical history. The inventory is organised as a set of "heading terms", belonging to one of seven different semantic categories, each of which is accompanied by a set of semantically-related terms. There are around 175,0...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Carries out syntactic parsing on plain text Tools in workflow: Cafetiere Sentence Splitter (University of Manchester), OpenNLP Tokenizer (Apache), STEPP Tagger (University of Manchester), ...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies sentences and tokens in plain text. Parts of speech and lemmas are assigned to tokens. Language is automatically identified amongst the supported languages and language-specific ...
Tokenisation is one of the functionalities of the GENIA tagger, which additionally 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 a UIMA component, which forms part of th...
The purpose of the tool is to detect sentence boundaries in English text. It is trained on the GENIA corpus of biomedical abstracts and so is particularly suitable for splitting sentences in biomedical texts. The tool is provided as a UIMA component, which forms part of the in-built library of co...
This is a UIMA wrapper for the OpenNLP Sentence Detector tool. It splits English text into individual sentences. The tool 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. ...