TY - GEN
T1 - Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction
AU - Lin, Chen
AU - Miller, Timothy A.
AU - Dligach, Dmitriy
AU - Amiri, Hadi
AU - Bethard, Steven
AU - Savova, Guergana
N1 - Publisher Copyright:
© 2018 Association for Computational Linguistics.
PY - 2018
Y1 - 2018
N2 - Neural network models are oftentimes restricted by limited labeled instances and resort to advanced architectures and features for cutting edge performance. We propose to build a recurrent neural network with multiple semantically heterogeneous embeddings within a self-training framework. Our framework makes use of labeled, unlabeled, and social media data, operates on basic features, and is scalable and generalizable. With this method, we establish the state-of-the-art result for both in- and cross-domain for a clinical temporal relation extraction task.
AB - Neural network models are oftentimes restricted by limited labeled instances and resort to advanced architectures and features for cutting edge performance. We propose to build a recurrent neural network with multiple semantically heterogeneous embeddings within a self-training framework. Our framework makes use of labeled, unlabeled, and social media data, operates on basic features, and is scalable and generalizable. With this method, we establish the state-of-the-art result for both in- and cross-domain for a clinical temporal relation extraction task.
UR - http://www.scopus.com/inward/record.url?scp=85066805645&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066805645&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85066805645
T3 - EMNLP 2018 - 9th International Workshop on Health Text Mining and Information Analysis, LOUHI 2018 - Proceedings of the Workshop
SP - 165
EP - 176
BT - EMNLP 2018 - 9th International Workshop on Health Text Mining and Information Analysis, LOUHI 2018 - Proceedings of the Workshop
PB - Association for Computational Linguistics (ACL)
T2 - 9th International Workshop on Health Text Mining and Information Analysis, LOUHI 2018, co-located with EMNLP 2018
Y2 - 31 October 2018
ER -