Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning | | 89.21 | 92.68 | 85.74 | MT-ISA | 2024-12-12 |
RVISA: Reasoning and Verification for Implicit Sentiment Analysis | | 89.10 | 91.52 | 86.68 | RVISA | 2024-07-02 |
LSA: Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation | ✓ Link | 88.27 | 90.33 | 86.21 | LSA+DeBERTa-V3-Large | 2021-10-16 |
Masking The Bias : From Echo Chambers to Large Scale Aspect-Based Sentiment Analysis | ✓ Link | 86.95 | 87.65 | 86.24 | MaskedABSA | 2024-09-02 |
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction | ✓ Link | 86.24 | 90.18 | 82.29 | LCF-ATEPC | 2019-12-17 |
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis | ✓ Link | 85.75 | 89.54 | 81.96 | DPL-BERT | 2022-03-14 |
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa | ✓ Link | 85.58 | 87.37 | 83.78 | RoBERTa+MLP | 2021-04-11 |
Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network | ✓ Link | 84.61 | 87.35 | 81.87 | KaGRMN-DSG | 2021-08-05 |
You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification | ✓ Link | 84.48 | 87.14 | 81.82 | YORO | 2024-03-24 |
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification | ✓ Link | 84.06 | 87.89 | 80.23 | BERT-ADA | 2019-08-30 |
Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network | ✓ Link | 83.92 | 86.59 | 81.25 | RGAT+ | 2020-02-22 |
Improving BERT Performance for Aspect-Based Sentiment Analysis | ✓ Link | 82.96 | 86.37 | 79.55 | PH-SUM | 2020-10-22 |
Adversarial Training for Aspect-Based Sentiment Analysis with BERT | ✓ Link | 82.69 | 86.03 | 79.35 | BAT | 2020-01-30 |
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification | ✓ Link | 82.46 | 83.57 | 81.35 | SDGCN-BERT | 2019-06-11 |
Attentional Encoder Network for Targeted Sentiment Classification | ✓ Link | 81.73 | 84.46 | 78.99 | BERT-SPC | 2019-02-25 |
Attentional Encoder Network for Targeted Sentiment Classification | ✓ Link | 81.53 | 83.12 | 79.93 | AEN-BERT | 2019-02-25 |
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis | ✓ Link | 81.51 | 84.95 | 78.07 | BERT-PT | 2019-04-03 |
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis | ✓ Link | 81.5 | 82.44 | 80.56 | InstructABSA | 2023-02-16 |
Aspect Based Sentiment Analysis with Aspect-Specific Opinion Spans | ✓ Link | 80.25 | 82.86 | 77.64 | MCRF-SA | 2020-10-06 |
Hierarchical Attention Based Position-Aware Network for Aspect-Level Sentiment Analysis | ✓ Link | 79.75 | 82.23 | 77.27 | HAPN | 2018-10-01 |
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis | ✓ Link | 79.63 | 83.89 | 75.36 | IMN | 2019-06-17 |
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis | ✓ Link | 79.58 | 81.53 | 77.62 | TNet-ATT(+AS) | 2019-06-04 |
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification | ✓ Link | 78.85 | 81.49 | 76.21 | MGAN | 2018-11-16 |
Transformation Networks for Target-Oriented Sentiment Classification | ✓ Link | 78.4 | 80.79 | 76.01 | TNet-LF | 2018-05-03 |
Learning Latent Opinions for Aspect-Level Sentiment Classification | ✓ Link | 78.35 | 81.6 | 75.1 | SA-LSTM-P | 2018-04-01 |
Multi-grained Attention Network for Aspect-Level Sentiment Classification | ✓ Link | 78.32 | 81.25 | 75.39 | MGAN | 2018-10-01 |
Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention | ✓ Link | 78.29 | 81.34 | 75.24 | LCR-Rot | 2018-02-03 |
Variational Semi-supervised Aspect-term Sentiment Analysis via Transformer | | 78.22 | 81.10 | 75.34 | BILSTM-ATT-G (TSSVAE) | 2018-10-24 |
Aspect-Based Sentiment Analysis Using Bitmask Bidirectional Long Short Term Memory Networks | | 78.1 | 81.3 | 74.9 | BBLSTM-SL | 2018-05-01 |
Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks | ✓ Link | 77.85 | 81.20 | 74.5 | AOA | 2018-04-18 |
A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis | ✓ Link | 77.64 | 81.16 | 74.12 | PBAN | 2018-08-01 |
Recurrent Attention Network on Memory for Aspect Sentiment Analysis | ✓ Link | 77.36 | 80.23 | 74.49 | RAM | 2017-09-01 |
Attentional Encoder Network for Targeted Sentiment Classification | ✓ Link | 77.25 | 80.98 | 73.51 | AEN-GloVe | 2019-02-25 |
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis | ✓ Link | 77.02 | 80.0 | 73.8 | IARM | 2018-10-01 |
Aspect Level Sentiment Classification with Deep Memory Network | ✓ Link | 76.58 | 80.95 | 72.21 | MemNet | 2016-05-28 |
Effective Attention Modeling for Aspect-Level Sentiment Classification | | 76.29 | 80.63 | 71.94 | LSTM+SynATT+TarRep | 2018-08-01 |
Interactive Attention Networks for Aspect-Level Sentiment Classification | ✓ Link | 75.35 | 78.60 | 72.10 | IAN | 2017-09-04 |
Target-Sensitive Memory Networks for Aspect Sentiment Classification | | 75.29 | 78.79 | 71.79 | JCI (hops) | 2018-07-01 |
Exploiting Document Knowledge for Aspect-level Sentiment Classification | ✓ Link | 75.13 | 79.11 | 71.15 | PRET+MULT | 2018-06-12 |
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification | | 74.63 | 79.20 | 70.06 | PF-CNN | 2019-09-13 |
Target-Sensitive Memory Networks for Aspect Sentiment Classification | | 74.08 | 75.73 | 72.43 | NP (hops) | 2018-07-01 |
Attention-based LSTM for Aspect-level Sentiment Classification | ✓ Link | 72.95 | 77.20 | 68.70 | ATAE-LSTM | 2016-11-01 |
Effective LSTMs for Target-Dependent Sentiment Classification | ✓ Link | 71.88 | 75.63 | 68.13 | TD-LSTM | 2015-12-03 |
Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models | | | 86.20 | | BERT-IL Finetuned | 2020-11-23 |
Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis | ✓ Link | | 82.86 | | ATLX-Ent | 2019-07-01 |
Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis | ✓ Link | | 82.62 | | ATLX | 2019-07-01 |
Transformation Networks for Target-Oriented Sentiment Classification | ✓ Link | | 80.79 | 76.01 | TNet | 2018-05-03 |
Aspect-based Sentiment Analysis using BERT with Disentangled Attention | ✓ Link | 86,11 | 89,46 | 82,76 | ABSA-DeBERTa | 2021-07-18 |