An Arabic twitter data set of 7,503 tweets. The released data contains manual Sentiment Analysis annotations as well as automatically extracted features, saved in Comma Separated (CSV) and Attribute-Relation File Format (ARFF) file formats. Due to twitter privacy restrictions we replaced the orig...
This corpus was run through BiRoamer https://github.com/bitextor/biroamer to anonymise the Portuguese-English parallel data from release 7 of the ParaCrawl project, specifically "Broader Web-Scale Provision of Parallel Corpora for European Languages". This version is filtered with BiCleaner with ...
Despite many recent papers on Arabic Named Entity Recognition (NER) in the news domain, little work has been done on microblog NER. NER on microblogs presents many complications such as informality of language, shortened named entities, brevity of expressions, and inconsistent capitalization (for...
A publicação Arquivo dos Açores, consagrada como obra de referência para a investigação histórica sobre o arquipélago dos Açores, conta com duas séries, num total de 20 volumes. A primeira série do Arquivo dos Açores, composta por 15 volumes, decorreu entre 1878 e 1959, com grandes interrupções r...
In the period since 2004, many novel sophisticated approaches for generic multi-document summarization have been developed. Intuitive simple approaches have also been shown to perform unexpectedly well for the task. Yet it is practically impossible to compare the existing approaches directly, bec...
A corpus of opinion articles annotated with arguments, following a claim-premise model.
Arquivo Dialetal CLUP - Áudio is an audio corpus of spontaneous speech, mainly from Northern Portugal.
Arquivo Dialetal CLUP - ORTH is a speech corpus approximately with 40 000 tokens (Utterances; spontaneous speech, mainly from Northern Portugal). Orthographic and phonetic transcription.
Arquivo Dialetal CLUP - POS is a speech corpus with approximately 40 000 tokens (Utterances; spontaneous speech, mainly from Northern Portugal). Orthographic transcription, POS.
Collection of dialogues extracted from subreddits related to Information Technology (IT) and extracted with RDET (Reddit Dataset Extraction Tool). It is composed of 61,842,638 tokens in 179,358 dialogues.