← Back to papers
2017 SEMEVAL SemEval 2017

HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment

🧭 Keyword Pioneer — hash-based embedding
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Behrang QasemiZadeh , Laura Kallmeyer

Topics

Machine Learning > Core Methods > Embedding Learning Machine Learning > Learning Types > Unsupervised Learning Machine Learning > Application Areas > Domain Adaptation

Keywords

unsupervised learning word embedding cross-lingual similarity hash-based embedding semantic word similarity
Download PDF

Related papers

ULISBOA at SemEval-2017 Task 12: Extraction and classification of temporal expressions and events 2017
LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network 2017
MayoNLP at SemEval 2017 Task 10: Word Embedding Distance Pattern for Keyphrase Classification in Scientific Publications 2017
Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator 2017
KULeuven-LIIR at SemEval-2017 Task 12: Cross-Domain Temporal Information Extraction from Clinical Records 2017