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2018 CONLL CoNLL 2018

A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative Languages

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — morphology-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, Security & Privacy, Speech & Audio

Authors

Şaziye Betül Özateş , Arzucan Özgür , Tunga Güngör , Balkız Öztürk

Topics

Machine Learning > Core Methods > Representation Learning Natural Language Processing > Understanding > Parsing

Keywords

dependency parsing word representation character embedding agglutinative language morphology-based embedding
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