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

Research article (Proceedings of The 12th International Workshop on Semantic Evaluation, 2018) · cited 33× · AI/ML
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ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction

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ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/eth-ds3lab-at-semeval-2018-task-7-effectively-combining-recurrent-and-convolutional-neural-networks-for-relation-classif
MLA “ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/eth-ds3lab-at-semeval-2018-task-7-effectively-combining-recurrent-and-convolutional-neural-networks-for-relation-classif.
BibTeX @misc{4ortxyz_eth-ds3lab-at-semeval-2018-task-7-effectively-combining-recurrent-and-convolutional-neural-networks-for-relation-classif_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction}}, year = {2026}, url = {https://4ort.xyz/entity/eth-ds3lab-at-semeval-2018-task-7-effectively-combining-recurrent-and-convolutional-neural-networks-for-relation-classif}, note = {Accessed: 2026-05-24}}
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