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Found 6 papers, 3 papers with code
Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
Specifically, we first define ten types of relations for ASTE task, and then adopt a biaffine attention module to embed these relations as an adjacent tensor between words in a sentence.
A Simple Model for Distantly Supervised Relation Extraction
Our BGM comprises of an instance embedding module and a bag representation module.
Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
To overcome these challenges, in this paper, we propose a dual graph convolutional networks (DualGCN) model that considers the complementarity of syntax structures and semantic correlations simultaneously.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
Dual-CNN: A Convolutional language decoder for paragraph image captioning
Abstract The task of paragraph image captioning aims to generate a coherent paragraph describing a given image.
Constructing Hierarchical Image-tags Bimodal Representations for Word Tags Alternative Choice
This paper describes our solution to the multi-modal learning challenge of ICML.
Challenges in Representation Learning: A report on three machine learning contests
The ICML 2013 Workshop on Challenges in Representation Learning focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge.
Ranked #12 on
Facial Expression Recognition (FER)
on FER2013
