A corpus of manually annotated event hierarchies in news stories.
Geo-Net-PT 02 is a public Geospatial Ontology of Portugal (see Chaves et al., 2007), a computational resource (see Rodrigues et al., 2006 and Rodrigues, 2009) for applications demanding geographic information about Portugal, and contains 701,209 concepts stored in a GKB system, most of them admin...
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. The tool is provided as a UIMA component, which forms part of the in-built library of...
A computational lexicon for Portuguese that provides mappings between verbs and their nominalizations.
The resource consists of a Portuguese frequency lexicon based on a 16 million words corpus of written and spoken texts from different genres. The lexicon contains 26.443 entries (lemma) and 140
The EUROPARL Corpus (subpart Portuguese-English of the parallel corpora), available at http://www.statmt.org/europarl/, was extracted from the proceedings of the European Parliament (Koehn, 2005). It contains transcriptions of sessions dating back from 1996 to 2011, in a total of approximately 58...
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...
This inventory contains a set of terms that are relevant to the study of medical history. The inventory is organised as a set of "heading terms", belonging to one of seven different semantic categories, each of which is accompanied by a set of semantically-related terms. There are around 175,0...
The corpus presented here is a collection of several tutorials and scientific papers in the field of Information Technology with 603 annotated definitions from Portuguese. The texts were collected from the Web at the beginning of the 2006 and they are organised in 32 files of three different sub-...
Yake! (Campos et al. 2020) is a novel feature-based system for multi-lingual keyword extraction, which supports texts of different sizes, domain or languages. Unlike most of the systems, Yake! does not rely on dictionaries nor thesauri, neither is trained against any corpora. Instead, we follow a...