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...
LX-Translator is a freely available on-line service for translation between Portuguese and Chinese. This service was developed and is maintained at the University of Lisbon by the NLX-Natural Language and Speech Group of the Department of Informatics. Intrinsic evaluation of the model for the ...
SenseClusters is a package of (mostly) Perl programs that allows a user to cluster similar contexts together using unsupervised knowledge-lean methods.
FEUP CoRef is a freely available online service for coreference resolution in Portuguese and Spanish. This service was developed and is maintained at the Faculdade de Engenharia da Universidade do Porto Department of Informatics.
ixa-pipe-pos-eu is a robust and wide-coverage morphological analyser and a Part-of-Speech tagger for Basque. The analyser is based on the two-level formalism and has been designed in an incremental way with three main modules: the standard analyser, the analyser of linguistic variants, and the...
YamCha is a generic, customizable, and open source text chunker oriented toward a lot of NLP tasks, such as POS tagging, Named Entity Recognition, base NP chunking, and Text Chunking. We used it for NP chunking.
ixa-pipe-coref-eu is a Basque coreference resolution tool, which is an adaptation of Stanford Deterministic Coreference Resolution (http://www-nlp.stanford.edu/downloads/dcoref.shtml). This tool reads a text document annotated with lemmas, named entities and constituents formated in Natural La...
ixa-pipe-dep-eu is a Basque dependency parsing tool. It is based on MATE-tools. This tool takes a document in Natural Language Processing Annotation Format (NAF) format (http://wordpress.let.vupr.nl/naf/) and outputs a new NAF document. This tool is partly funded by the European Commission ...
CSTParser is a multi-document discourse parser. Based on machine learning techniques and hand-crafted rules, the system identifies a set of relations predicted by CST (Cross-document Structure Theory) among sentences of different texts on the same topic.
VISTA@UE-SA is a freely available on-line service for the sentiment analysis of short sentences (tweets) in Portuguese. This service was developed and is maintained at the University of Evora by the VISTA - Video, Image, Speech, and Text Analysis Group of the Department of Informatics.