Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies

Mihaela Onofrei; Ionuț Hulub; Diana Trandabat; Daniela Gifu

2018 SEMEVAL SemEval 2018

Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies

🌉 Interdisciplinary Bridge - Artificial Intelligence and Machine Learning

🐝 Cross-Pollinator - Artificial Intelligence, Computer Science, Data Science & Analytics, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Natural Language Processing, Reinforcement Learning

Authors

Mihaela Onofrei , Ionuț Hulub , Diana Trandabat , Daniela Gifu

Topics

Artificial Intelligence > Core AI > Causal Inference Machine Learning > Core Methods > Representation Learning

Keywords

hypernymy detection syntactic dependencies lexical pattern dependency pattern

Download PDF

Related papers

Zewen at SemEval-2018 Task 1: An Ensemble Model for Affect Prediction in Tweets 2018

TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion Detection 2018

NEUROSENT-PDI at SemEval-2018 Task 3: Understanding Irony in Social Networks Through a Multi-Domain Sentiment Model 2018

NewsReader at SemEval-2018 Task 5: Counting events by reasoning over event-centric-knowledge-graphs 2018

NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs 2018