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Name: Awidn
Type: User
Name: Awidn
Type: User
[EMNLP 2021] Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
"Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks"
Code and data for "Attention Transfer Network for Aspect-level Sentiment Classification" (COLING 2020)
Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis
[TKDE] Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis
A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.
The code and preprocessed data for ACL 2021 paper titled "Exploiting Position Bias for Robust Aspect Sentiment Classification"
Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020
Code for EMNLP 2021 paper: "Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training"
[KBS] Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
SSEGCN: Syntactic and Semantic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis
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