Open & Efficient for Framework for Aspect-based Sentiment Analysis

This dataset contains synthetic training data for grammatical error correction. The corpus is generated by corrupting clean sentences from C4 using a tagged corruption model. The approach and the d…

codes for paper A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction

Performed Aspect Level Sentiment Analysis using a Deep Memory Network. It explicitly captures the importance of each context word when inferring the sentiment polarity of an aspect word.

Implementation of paper Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa.

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis

code for ACL2021 paper "Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction"

UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (W-NUT@EMNLP 2019)

Dataset and code for ”EATN: An Efficient Adaptive Transfer Network for Aspect-level Sentiment Analysis"

code associated with ACL 2021 DExperts paper

Code for our paper "Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network" in TASLP

Code for "A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis" on Neurocomputing.

The codebase for a new quasi-attention BERT model for TABSA tasks

NLP-Study

Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks"

吴恩达老师的机器学习课程个人笔记

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

Code for the NLPCC 2020 paper "Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis"

Mi Zhang and Tieyun Qian,Convolution over Hierarchical Level Sentiment Analysis,EMNLP2020

Chinese Language Generation Evaluation 中文生成任务基准测评

(AAAI'20) The source code for the paper "Controlling the Amount of Verbatim Copying in Abstractive Summarization".

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

Keras Implementation of Aspect based Sentiment Analysis

Implement Model from the paper (Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis)