Hypernym Discovery
Related Papers
Supervised Distributional Hypernym Discovery via Domain Adaptation
Lexical taxonomies are graph-like hierarchi- cal structures that provide a formal representa- tion of knowledge. Most knowledge graphs to date rely on is-a (hypernymic) relations as the backbone of their …...
300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes
AbstractThis paper describes 300-sparsians’s participation in SemEval-2018 Task 9: Hypernym Discovery, with a system based on sparse coding and a formal concept hierarchy obtained from word embeddings. Our system took …...
ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora
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 …...
CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery
AbstractThis report describes the system developed by the CRIM team for the hypernym discovery task at SemEval 2018. This system exploits a combination of supervised projection learning and unsupervised pattern-based …...
NLP_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach
AbstractHypernym discovery aims to discover the hypernym word sets given a hyponym word and proper corpus. This paper proposes a simple but effective method for the discovery of hypernym sets …...
SemEval-2018 Task 9: Hypernym Discovery
AbstractThis paper describes the SemEval 2018 Shared Task on Hypernym Discovery. We put forward this task as a complementary benchmark for modeling hypernymy, a problem which has traditionally been cast …...
SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings
AbstractThis paper describes a hypernym discovery system for our participation in the SemEval-2018 Task 9, which aims to discover the best (set of) candidate hypernyms for input concepts or entities, …...
Tel(s)-Telle(s)-Signs: Highly Accurate Automatic Crosslingual Hypernym Discovery
We report a highly accurate hypernym discovery heuristic that works on unrestricted texts. This approach leverages morphological cues in French, but given any parallel data and word alignment tool, this …...
Hypernym Discovery via a Recurrent Mapping Model
Hypernym discovery aims to identify all possi- ble hypernyms of a given term. The most re- cent hypernym discovery models exploit mul- tiple mapping functions to project a term to …...