TakeLab at SemEval-2018 Task 7: Combining Sparse and Dense Features for Relation Classification in Scientific Texts

Martin Gluhak; Maria Pia Di Buono; Abbas Akkasi; Jan Šnajder

2018 SemEval SemEval 2018

TakeLab at SemEval-2018 Task 7: Combining Sparse and Dense Features for Relation Classification in Scientific Texts

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Martin Gluhak, Maria Pia Di Buono, Abbas Akkasi, Jan Šnajder

Topics

Machine Learning > Core Methods > Classification Machine Learning > Core Methods > Representation Learning Natural Language Processing > Applications > Information Extraction

Keywords

feature extraction support vector machine convolutional neural network feature engineering word embedding relation classification

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