Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies biological named entities and disambiguates them according to species, by assigning a species ID from the NCBI taxonomy. Also identifies sentences and tokens. Tools in workflow...
SenseClusters is a package of (mostly) Perl programs that allows a user to cluster similar contexts together using unsupervised knowledge-lean methods.
Conta-me Histórias [http://contamehistorias.pt] is a temporal summarization framework of news articles that allows users to explore and revisit events in the past. To select relevant stories of different time-periods, we rely on YAKE! [http://yake.inesctec.pt] a keyword extraction algorithm devel...
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. 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...
ACOPOST is a free and open source collection of four part-of-speech taggers (t3, met, tbt, and et). In corpus linguistics, part-of-speech tagging (POS tagging or POST), also called grammatical tagging or word-category disambiguation, is the process of marking up the words in a text (corpus) as co...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies NP chunks in plain text. Also carries out sentence splitting, tokenisation and POS tagging Tools in workflow: MLRS Sentence Splitter (University of Malta), UAIC-POSTagger, UAIC-...
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.
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 ...