The LX-ESSLLI 2008 data set was created from the ESSLLI 2008 Distributional Semantic Workshop shared-task set, made of 44 concrete nouns grouped in 6 semantic categories (4 animate and 2 inanimate). The grouping is done in an hierarchical way following the top 10 properties from the McRae (2005) ...
This dataset is a collection of dialogues extracted from the Portugal subreddit with RDET (Reddit Dataset Extraction Tool). It is composed of around 58,964,715 tokens in 218,550 dialogues.
This is a corpus for multi-document summarization for European Portuguese. It contains 80 topics, each of which has 10 documents, for a total of 800 documents. Each topic contains two human summaries. The summaries are compressive: they are the result of a compression of the sentences in the orig...
Grafone-LEX is a lexical database for conversion from graphemes to phonemes
The MLSS Sentence Splitter is a web service tool, which takes text as input and outputs the identified sentences surrounded by tags. The tool was tuned for Maltese. The download for this resource only contains the narrative description in a Word file. The web service has one methods which can ...
Radio Bulgaria WSD/NED corpus is composed of texts from Bulgarian and English articles from the website of Radio Bulgaria.
Porlex (Gomes & Castro, 2003) is a lexical database that includes written and phonetic transcription of standard adult vocabulary - 44 psycholinguistic characteristics (e.g. orthographic, phonological, phonetic, part-of-speech, and neighborhood characteristics). For each word it contains psychol...
The Dataset of Nuanced Assertions on Controversial Issues (NAoCI) dataset consists of over 2,000 assertions on sixteen different controversial issues. It has over 100,000 judgments of whether people agree or disagree with the assertions, and of about 70,000 judgments indicating how strongly peopl...
Wordlist for spell-checking
Datasets is arff format (for Weka machine learning software) are made available to reproduce the validation experiments presented in the paper.