In this paper we report on experiments to determine if antonymy is a good predictor of contrast, using 124 texts from the British National Corpus and the antonymy relations for adjectives recognized by WordNet. Further, we considered whether antonyms are key arguments in the inferences that license contrast. We looked at the frequency of both indirect and direct antonym pairs in contrastive sen...

This paper describes and analyzes our SemEval 2014 Task 1 system. Its features are based on distributional and denotational similarities; word alignment; negation; and hypernym/hyponym, synonym, and antonym relations.

We present a novel graph-based algorithm for the automated disambiguation of glosses in lexical knowledge resources. A dictionary graph is built starting from senses (vertices) and explicit or implicit relations in the dictionary (edges). The approach is based on the identification of edge sequences which constitute cycles in the dictionary graph (possibly with one edge reversed) and relate a s...

Text has traditionally been used to train automated classifiers for a multitude of purposes, such as: classification, topic modelling and sentiment analysis. State-of-the-art LSTM classifier require large number training examples avoid biases successfully generalise. Labelled data greatly improves classification results, but not all modern datasets include numbers labelled examples. Labelling i...

Besides synsets and semantic relations, synset glosses are an important feature of wordnets. However, due to the required effort, their creation is sometimes left undone. This happens in Onto.PT, a Portuguese wordnet created automatically, which does not have glosses. In our work, we exploited Portuguese dictionaries to automatically assign definitions to the synsets of Onto.PT. For this purpos...