lilijian (llj110)

llj110

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Company:Macau University

Location:Taipa University Road, Macau, China

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lilijian's repositories

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ABSA-BERT-pair

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

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ABSA-PyTorch

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

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ABSA_Keras

Keras Implementation of Aspect based Sentiment Analysis

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AF-LSTM

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

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AGDT

Code for "A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis." on EMNLP 2019.

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ASGCN

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

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Aspect-Level-Sentiment-Analysis

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.

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BERT-E2E-ABSA

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

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BERT-for-RRC-ABSA

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

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BiGCN

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

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C4_200M-synthetic-dataset-for-grammatical-error-correction

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 dataset are described in more detail by Stahlberg and Kumar (2021) (https://www.aclweb.org/anthology/2021.bea-1.4/)

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CLGE

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

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control-over-copying

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

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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DExperts

code associated with ACL 2021 DExperts paper

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DREGCN

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

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DualGCN-ABSA

Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis

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EATN

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

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LCF-ATEPC

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

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NLP-Study

NLP-Study

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PyABSA

Open & Efficient for Framework for Aspect-based Sentiment Analysis

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Quasi-Attention-ABSA

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

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RGAT-ABSA

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

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RoBERTaABSA

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

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TMM-for-MAMS

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

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TtT

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

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ua-gec

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

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