jiangqn/aspect-based-sentiment-analysis

A paper list for aspect based sentiment analysis.

Aspect-Based-Sentiment-Analysis

A paper list for aspect based sentiment analysis.

Survey

• [IEEE-TAC-20]: Issues and Challenges of Aspect-based Sentiment Analysis: A ComprehensiveSurvey. [paper]

Datasets

SemEval-2014 Task 4

• [SemEval-14]: SemEval-2014 Task 4: Aspect Based Sentiment Analysis. [paper] [data]

ARTS (Adversarial Test Set for SemEval-14)

• [EMNLP-20]: Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. [paper] [data]

MAMS

• [EMNLP-19]: A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. [paper] [data]

Twitter

• [ACL-14]: Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. [paper] [data]

SentiHood

• [COLING-16]: Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods. [paper] [data]

TOWE

• [NAACL-19]: Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling. [paper] [data]

Paper List

Aspect Based Sentiment Classification

• [SemEval-14]: SemEval-2014 Task 4: Aspect Based Sentiment Analysis. [paper] [data]

• [ACL-14]: Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. [paper] [data]

• [NIPS-14-workshop]: Aspect Specific Sentiment Analysis using Hierarchical Deep Learning. [paper]

• [EMNLP-15]: PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis. [paper]

• [COLING-16]: Sentihood: Targeted aspect based sentiment analysis dataset for urban neighbourhoods. [paper] [data]

• [COLING-16]: Effective LSTMs for Target-Dependent Sentiment Classification. [paper] [data]

• [EMNLP-16]: Aspect Level Sentiment Classification with Deep Memory Network. [paper] [code]

• [EMNLP-16]: Attention-based LSTM for Aspect-level Sentiment Classification. [paper] [code]

• [EMNLP-16]: A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis. [paper]

• [EMNLP-16]: Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. [paper]

• [AAAI-2016]: Gated Neural Networks for Targeted Sentiment Analysis. [paper] [code]

• [EACL-2017]: Attention Modeling for Targeted Sentiment. [paper] [code]

• [IJCAI-17]: Interactive Attention Networks for Aspect-Level Sentiment Classification. [paper] [code]

• [CIKM-17]: Dyadic Memory Networks for Aspect-based Sentiment Analysis. [paper]

• [EMNLP-17]: Recurrent Attention Network on Memory for Aspect Sentiment Analysis. [paper] [code]

• [WWW-18]: Content Attention Model for Aspect Based Sentiment Analysis. [paper] [code]

• [AAAI-18]: Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. [paper]

• [AAAI-18]: Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis. [paper]

• [AAAI-18]: Learning Latent Opinions for Aspect-Level Sentiment Classification. [paper]

• [NAACL-18]: Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. [paper]

• [NAACL-18]: Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis. [paper] [code]

• [ACL-18]: Exploiting Document Knowledge for Aspect-level Sentiment Classification. [paper] [code]

• [ACL-18]: Target-Sensitive Memory Networks for Aspect Sentiment Classification. [paper]

• [ACL-18]: Aspect Based Sentiment Analysis with Gated Convolutional Networks. [paper] [code]

• [ACL-18]: Multi-grained Attention Network for Aspect-Level Sentiment Classification. [paper] [code]

• [ACL-18]: Transformation Networks for Target-Oriented Sentiment Classification. [paper] [code]

• [IJCAI-18]: Aspect Sentiment Classification with both Word-level and Clause-level AttentionNetworks. [paper]

• [COLING-18]: Effective Attention Modeling for Aspect-Level Sentiment Classification. [paper]

• [COLING-18]: Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. [paper] [code]

• [COLING-18]: A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis. [paper]

• [COLING-18]: Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings. [paper]

• [EMNLP-18]: IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. [paper] [code]

• [EMNLP-18]: Aspect Based Sentiment Analysis into the Wild. [paper] [data]

• [EMNLP-18]: Joint Aspect and Polarity Classification for Aspect-based SentimentAnalysis with End-to-End Neural Networks. [paper]

• [EMNLP-18]: Multi-grained Attention Network for Aspect-LevelSentiment Classification. [paper] [code]

• [EMNLP-18]: Parameterized Convolutional Neural Networks for Aspect LevelSentiment Classification. [paper]

• [EMNLP-18]: Joint Learning for Targeted Sentiment Analysis. [paper]

• [SBP-BRiMS-18]: Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks. [paper] [code]

• [AAAI-19]: Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. [paper] [data]

• [AAAI-19]: A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. [paper] [code]

• [W-NUT19]: Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. [paper] [code]

• [NAACL-19]: BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. [paper] [code]

• [NAACL-19]: Utilizing BERT for Aspect-Based Sentiment Analysisvia Constructing Auxiliary Sentence. [paper] [code]

• [ACL-19]: An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. [paper] [code]

• [ACL-19]: Progressive Self-Supervised Attention Learning forAspect-Level Sentiment Analysis. [paper] [code]

• [ACL-19]: Transfer Capsule Network for Aspect Level Sentiment Classification. [paper] [code]

• [EMNLP-19]: Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks. [paper] [code]

• [EMNLP-19]: Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. [paper] [code]

• [EMNLP-19]: Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification. [paper]

• [EMNLP-19]: Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. [paper] [code]

• [EMNLP-19]: CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis. [paper]

• [EMNLP-19]: A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. [paper] [code]

• [EMNLP-19]: A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. [paper] [code]

• [EMNLP-19]: Learning Explicit and Implicit Structures for Targeted Sentiment Analysis. [paper] [code]

• [EMNLP-19]: Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks. [paper]

• [EMNLP-19]: Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks. [paper] [code]

• [arXiv-19]: Attentional Encoder Network for Targeted Sentiment Classification. [paper] [code]

• [arXiv-19]: Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification. [paper] [code]

• [arXiv-19]:  A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. [paper]

• [arXiv-20]: Exploiting Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network. [paper]

• [arXiv-20]: An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis. [paper]

• [arXiv-20]: A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis. [paper]

• [ACL-20]: Relational Graph Attention Network for Aspect-based Sentiment Analysis. [paper] [code]

• [ACL-20]: Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation. [paper]

• [ACL-20]: Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis. [paper]

• [ACL-20]: Aspect Sentiment Classification with Document-level Sentiment Preference Modeling. [paper]

• [ACL-20]: Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis. [paper]

• [ACL-20]: Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification. [paper]

• [EMNLP-20]: Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis. [paper]

• [EMNLP-20]: Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. [paper]

• [EMNLP-20]: Inducing Target-specific Latent Structures for Aspect Sentiment Classification. [paper]

• [EMNLP-20]: A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis. [paper]

• [EMNLP-20]: Aspect-Based Sentiment Analysis by Aspect-Sentiment Joint Embedding. [paper]

• [EMNLP-20]: Unified Feature and Instance Based Domain Adaptation for End-to-End Aspect-based Sentiment Analysis. [paper]

Aspect Extraction

• [EMNLP-2015]: Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings. [paper]

• [EMNLP-2016]: Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. [paper] [code]

• [EMNLP-2017]: Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction. [paper]

• [AAAI-17]: Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms. [paper]

• [ACL-17]: An Unsupervised Neural Attention Model for Aspect Extraction. [paper] [code]

• [IJCAI-18]: Aspect Term Extraction with History Attention and Selective Transformation. [paper]

• [ACL-18]: Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. [paper] [code]

• [EMNLP-18]: ExtRA: Extracting Prominent Review Aspects from Customer Feedback. [paper]

• [ACL-19]: Annotation and Automatic Classification of Aspectual Categories. [paper] [code]

• [ACL-19]: Exploring Sequence-to-Sequence Learning in Aspect Term Extraction. [paper]

• [ACL-19]: DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. [paper] [code]

• [arXiv-20]: Aspect Term Extraction using Graph-based Semi-Supervised Learning. [paper]

• [ACL-20]: SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. [paper]

• [ACL-20]: Embarrassingly Simple Unsupervised Aspect Extraction. [paper]

• [ACL-20]: Don't Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction. [paper]

• [EMNLP-20]: Enhancing Aspect Term Extraction with Soft Prototypes. [paper]

Aspect Sentiment Triplet Extraction

• [AAAI-20]: Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis. [paper] [data]

Target-oriented Opinion Words Extraction

• [NAACL-19]: Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling. [paper] [code]

• [AAAI-20]: Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction. [paper]

• [ACL-20]: Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction. [paper] [code]

• [EMNLP-20]: Deep Weighted MaxSAT for Aspect-based Opinion Extraction. [paper]

• [EMNLP-20]: Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning. [paper]

Jointly Extract Aspect and Classify Aspect Sentiment

• [AAAI-19]: A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. [paper] [code]

• [ACL-19]: Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification. [paper]

• [arXiv-20]: Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks. [paper]

• [EMNLP-20]: Position-Aware Tagging for Aspect Sentiment Triplet Extraction. [paper]

Applications

• [ACL-20]: Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection. [paper]

aspect-based-sentiment-analysis's Issues

关于论文的复现

hello！
我基于pytorch复现了阿里在发表在ACL 2021上的论文 Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction (In ACL 2021)，我想可能会有人跟我会碰到同样的问题，我将我的代码也开源了出来，希望可以帮到更多的人，期待您提出宝贵的建议 。https://github.com/wireless911/span-aste.git