Database with 2.253 citations extracted from the Corpus de Referência do Português Contemporâneo - CRPC (Reference Corpus of Contemporary Portuguese) and manually revised. Format: tab separated file Fields: - context number - source file id - citation
Dundee GCG-Bank contains hand-corrected deep syntactic annotations for the Dundee eye-tracking corpus (Kennedy et al., 2003). The annotations are designed to support psycholinguistic investigation into the structural determinants of sentence processing effort. Dundee GCG-Bank is distributed as a ...
Datasets is arff format (for Weka machine learning software) are made available to reproduce the validation experiments presented in the paper.
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...
This corpus is part of the collection of the Wikipedia Dumps which was retrieved from wikipedia.org on April 8, 2010. It comes with two individual XML files, one containing the Wikipedia articles and another containing the metadata about it.
We present SETimes.HR ― the first linguistically annotated corpus of Croatian that is freely available for all purposes. The corpus is built on top of the SETimes parallel corpus of nine Southeast European languages and English. It is manually annotated for lemmas, morphosyntactic tags, named ent...
The LX-Rare Word Similarity Data set was created from Stanford Rare Word (RW) Similarity data set (Luong et al., 2013). This list contains 2 034 words (1 017 pairs of words). All the words were extracted from Wikipedia and from WordNet (Miller, 1995), a lexical database where the concepts are gro...
GREC is a semantically annotated corpus of 240 MEDLINE abstracts (167 on the subject of E. coli species and 73 on the subject of the Human species) which is intended for training IE systems and/or resources which are used to extract events from biomedical literature.
A corpus of 2,019 tweets annotated along each of four emotion dimensions: Valence, Dominance, Arousal and Surprise. Two annotation schemes are used: a 5-point ordinal scale (using SAM manikins for Valence, Arousal and Dominance) and pair-wise comparisons with an "about the same" option (here 2,01...
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.