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 Tokenizer tool. It assigns part-of-speech tags to tokens in English text. The tagset used in from the Penn Treebank). The tool forms part of the in-built library of components provided with the U-Compare platform (Kano et al., 2009; Kano et al., 2011; see se...
SemLink is a project whose aim is to link together different lexical resources via a set of mappings. These mappings will make it possible to combine the different information provided by these different lexical resources for tasks such as inferencing. In the current release, two mappings are ava...
The BioLexicon is a large-scale, wide-coverage computational lexicon covering the biomedical domain. A large part of the lexicon is concerned with covering biomedical terms and their variants. Entries for domain-specific verbs include syntactic and semantic information. The lexicon includes entri...
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...
A corpus of 2,000 MEDLINE abstracts, collected using the three MeSH terms human, blood cells and transcription factors. The corpus is available in three formats: 1) A text file containing part-of-speech (POS) annotation, based on the Penn Treebank format, 2) An XML file containing inline POS anno...
The corpus contains the Laws of Malta in English from the official government website. The unannotated raw text files were extracted from the pdf files that can be found on the website.
The corpus consists of 1000 MEDLINE abstracts. It is a subset of the original GENIA POS & term corpus, which was selected using the three MeSH terms human, blood cells and transcription factors. In each sentence, three types of information are annotated 1) biomedical terms are identified and assi...
The purpose of the tool is to detect sentence boundaries in English text. The tool is provided as a UIMA component, specifically as Java archive (jar) file, which can be incorporated within any UIMA workflow. However, it is particularly designed use in the U-Compare text mining platform (see sepa...
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...