Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies tokens in plain text and assigns parts-of-speech Tools in workflow: MLRS POS Tagger web service (University of Malta) NOTE: The licence provided covers the web service only. To...
The texts are sentences from the News parallel corpus. The texts contain monolingual sentences from parallel corpora for the following pairs: Basque-English, Bulgarian-English, Czech-English, Portuguese-English and Spanish-English. The English corpus is comprised by the English side of the Spanis...
Bilingual (EN-PT) corpus acquired from website (https://ec.europa.eu/commission/presscorner/) of the EU portal (14th May 2020).
Bilingual (EN-PT) corpus acquired from the website (https://www.europarl.europa.eu/) of the European Parliament (25th April 2020)
Bilingual (EN-PT) corpus acquired from the website (https://www.europarl.europa.eu/) of the European Parliament (9th May 2020)
Corpus of mixed language (French, German,Luxemburguish) sentences from {sc Chamber} (House of Parliament) debate reports manually annotated at segment level with 6 labels : Lux, Fre, Ger, Lux + Fre, Lux + Ger, Lux + Fre + Ger
PhenoCHF is an annotated corpus consisting of documents belonging to two different text types (i.e., narrative reports from electronic health records (EHRs) and literature articles). It is manually annotated by medical doctors with detailed information relating to mentions of phenotype concepts a...
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...
Enju is a syntactic parser for English. The grammar used by the parser is based on Head Driven Phrase Structure Grammar (HPSG). Enju can analyse syntactic/semantic structures of English sentences can output phrase structure and predicate-argument structures.
GREC is a semantically annotated corpus of 240 MEDLINE abstracts (167 on the subject of E. coli species and 73 on the subject of the Human species) which is intended for training IE systems and/or resources which are used to extract events from biomedical literature.