← Back to papers
2018 SEMEVAL SemEval 2018

BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — xgboost classifier
🐝 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

Enrico Santus , Chris Biemann , Emmanuele Chersoni

Topics

Machine Learning > Core Methods > Classification Machine Learning > Learning Types > Self-Supervised Learning Natural Language Processing > Applications > Text Classification Machine Learning > Core Methods > Feature Learning

Keywords

pattern recognition feature engineering word embedding pattern matching xgboost classifier semantic difference discriminative attribute graph-based feature graph feature
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