Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies sentences and tokens in plain text. Tools in workflow: Freeling sentence splitter web service (service provided by the PANACEA project), LX-Tokenizer (web service provided by th...
LX-Tagger is a freely available online service for the part-of-speech tagging of Portuguese. It was developed and is mantained by the NLX-Natural Language and Speech Group at the University of Lisbon, Department of Informatics. The service is composed by a set of shallow processing tools: A se...
The test set described in was used as the basis for the assessment of word embeddings. An example entry in this data set would read: ‘Berlin Germany Lisbon Portugal’. With these four words relations – as in this example – one can test semantic analogies by using any of the possible combinations o...
The PTPARL Corpus contains approximately 975,806 running words of European Portuguese. It includes 1076 texts consisting of adapted transcriptions of the Portuguese parliament sessions, which were made available in 2004.
Based on the MXPOST part of speech tagger and UNITEX dictionaries for Portuguese, this tool produces the lemmas of the words of a text stored in a plain text file. The source code is also provided.
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 LX-WordSim-353 was created from WordSim-353 (Agirre et al., 2009). As the name suggests, this data set contains 353 pairs of words. Both words in each pair can have different morphosyntactic categories. The data set is made of nouns, adjectives, verbs and named entities, and has no multiwords...
The corpus was developed as a linguistic resource for Automatic Summarization research and his relation with different issues to engage studies on the discourse treatment. Summ-it consists of fifty texts from Science domain extracted from Science section of Brazilian daily newspaper Folha de Sã...
The resource is constituted by 20 thousand entries morpho-syntactically and syntactically encoded, accordingly to the parole common encoding standards.
The LX-SimLex-999 was created from SimLex-999 (Hill et al., 2015) which, in turn, was based in the University of South Florida Free Association Database (USF) (Nelson et al., 2014). There were strict guidelines to create SimLex-999. Both words in each pair have the same morphosyntactic category ...