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 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.

Despite many recent papers on Arabic Named Entity Recognition (NER) in the news domain, little work has been done on microblog NER. NER on microblogs presents many complications such as informality of language, shortened named entities, brevity of expressions, and inconsistent capitalization (for...

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...

The U-Compare Workbench is a graphical user interface that operates on top of the U-Compare platform. The U-Compare platform allows users to build and evaluate NLP workflows. Workflows consist of one or more components, consisting of corpus readers and tools, such as tokenisers, POS taggers, name...

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...