Skip-gram Word Embeddings

We present the INESC-ID system for the mes- sage polarity classification task of SemEval 2015. The proposed system does not make use of any hand-coded features or linguistic resources. It …...

In this paper, we utilize distributed word rep- resentations (i.e., word embeddings) to anal- yse the representation of semantics in brain activity. The brain activity data were recorded using functional …...

AbstractThis paper describes a simple but competitive unsupervised system for hypernym discovery. The system uses skip-gram word embeddings with negative sampling, trained on specialised corpora. Candidate hypernyms for an input …...