← Back to papers
2018 SEMEVAL SemEval 2018

Texterra at SemEval-2018 Task 7: Exploiting Syntactic Information for Relation Extraction and Classification in Scientific Papers

🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning
🐣 Hot Topic Early Bird — dependency tree
🐝 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

Andrey Sysoev , Vladimir Mayorov

Topics

Machine Learning > Core Methods > Classification Deep Learning > Architectures > Neural Networks

Keywords

relation extraction convolutional neural network recurrent neural network shortest path dependency tree
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