Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies biomedical named entities (genes and proteins) in plain text. Also identifies sentences. Tools in workflow: Cafetiere Sentence Splitter (University of Manchester), NEMine (Univ...

Treat is a toolkit for natural language processing and computational linguistics in Ruby. The Treat project aims to build a language- and algorithm- agnostic NLP framework for Ruby with support for tasks such as document retrieval, text chunking, segmentation and tokenization, natural language pa...

In order to construct the inventory, we firstly compiled a species name dictionary by combining all of the names available in Catalogue of Life (CoL), Encyclopedia of Life (EoL) and Global Biodiversity Information Facility (GBIF). The terms contained in this dictionary were then located within ...

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...

Freely available large dataset, manually annotated for German NER. Includes nested span annotations. Source text from German Wikipedia and news. This data set does not contain the test data, which is used for the GermEval 2014 NER task at KONVENS. Test data will be available from September 2014.

LX-NER is a freely available online service for the recognition of expressions for named entities in Portuguese. It was developed and is maintained by the NLX-Natural Language and Speech Group at the University of Lisbon, Department of Informatics. LX-NER takes a segment of Portuguese text an...