MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification

3 March 2016

Papers citing "MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification"

9 / 9 papers shown

Title
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification Cuong V. Nguyen Khiem H. Le Anh Tran Quang Pham Binh T. Nguyen 15 14 0 16 Mar 2023
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets Fabian Karl A. Scherp VLM 24 20 0 30 Nov 2022
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms Jingyi He Kc Tsiolis Kian Kenyon-Dean Jackie C.K. Cheung 80 7 0 05 Nov 2020
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection Xiang Zhang Lina Yao Manqing Dong Zhe Liu Yu Zhang Yong Li OOD AAML 27 86 0 18 Sep 2019
CRNN: A Joint Neural Network for Redundancy Detection Xinyu Fu Eugene Ch’ng U. Aickelin Simon See 26 34 0 04 Jun 2017
What is the Essence of a Claim? Cross-Domain Claim Identification Johannes Daxenberger Steffen Eger Ivan Habernal Christian Stab Iryna Gurevych 29 94 0 24 Apr 2017
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization Ye Zhang Matthew Lease Byron C. Wallace 16 15 0 08 Feb 2017
Rationale-Augmented Convolutional Neural Networks for Text Classification Ye Zhang Iain J. Marshall Byron C. Wallace 34 161 0 14 May 2016
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification Ye Zhang Byron C. Wallace AAML 44 1,190 0 13 Oct 2015