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

5 April 2018

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

7 / 7 papers shown

Title
A Systematic Review of Reproducibility Research in Natural Language ProcessingConference of the European Chapter of the Association for Computational Linguistics (EACL), 2025 Anya Belz Shubham Agarwal Anastasia Shimorina Ehud Reiter AI4CE 112 62 0 14 Mar 2021
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing Nora Hollenstein Cédric Renggli B. Glaus Maria Barrett M. Troendle N. Langer Ce Zhang 207 41 0 17 Feb 2021
Low-Resource Adaptation of Neural NLP Models Farhad Nooralahzadeh 114 0 0 09 Nov 2020
A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss Shanchan Wu Kai Fan NoLa 41 2 0 28 Apr 2020
REflex: Flexible Framework for Relation Extraction in Multiple Domains Geeticka Chauhan Matthew B. A. McDermott Peter Szolovits 155 13 0 19 Jun 2019
Advancing NLP with Cognitive Language Processing Signals Nora Hollenstein Maria Barrett M. Troendle Francesco Bigiolli N. Langer Ce Zhang 154 39 0 04 Apr 2019
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers Haoyu Wang Ming Tan Mo Yu Shiyu Chang Dakuo Wang Kun Xu Xiaoxiao Guo Saloni Potdar ViT 131 98 0 04 Feb 2019