Paper: ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction accepted at SemEval 2018

The following paper by Jonathan Rotsztejn, Nora Hollenstein and Ce Zhang has been accepted at the International Workshop on Semantic Evaluation (SemEval 2018) among 28 international teams, in three out of four subtasks for the relation extraction and classification tasks:

ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction