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61
The Effect of Round-Trip Translation on Fairness in Sentiment Analysis ...
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62
Multimodal Phased Transformer for Sentiment Analysis ...
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63
MATE: Multi-view Attention for Table Transformer Efficiency ...
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64
Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph ...
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65
Classifying Dyads for Militarized Conflict Analysis ...
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66
Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection ...
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67
Comparative Opinion Quintuple Extraction from Product Reviews ...
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68
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction ...
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69
Natural language processing as a tool to identify the Reddit particularities of cancer survivors around the time of diagnosis and remission: A pilot study ...
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70
Does Social Pressure Drive Persuasion in Online Fora? ...
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71
A Large-Scale Dataset for Empathetic Response Generation ...
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72
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews ...
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73
Sample Selection Guided by Domain and Task for Cross-Domain Targeted Sentiment Analysis ...
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74
Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.22/ Abstract: Aspect-based sentiment analysis aims to identify the sentiment polarity of a specific aspect in product reviews. We notice that about 30% of reviews do not contain obvious opinion words, but still convey clear human-aware sentiment orientation, which is known as implicit sentiment. However, recent neural network- based approaches paid little attention to Implicit sentiment entailed in the reviews. To overcome this issue, we adopt Supervised Contrastive Pre-training on large-scale sentiment annotated corpora retrieved from in-domain language resources. By aligning the representation of implicit sentiment expressions to those with the same sentiment label, the pretraining process leads to better capture of both implicit and explicit sentiment orientation towards aspects in reviews. Experimental results show that our method achieves state-of-the-art performance on SemEval2014 benchmarks, and comprehensive analysis validates its ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Neural Network; Sentiment Analysis
URL: https://underline.io/lecture/37619-learning-implicit-sentiment-in-aspect-based-sentiment-analysis-with-supervised-contrastive-pre-training
https://dx.doi.org/10.48448/78v1-aq69
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75
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis ...
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76
Dimensional Emotion Detection from Categorical Emotion ...
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77
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge ...
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78
Unimodal and Crossmodal Refinement Network for Multimodal Sequence Fusion ...
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79
Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification ...
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80
Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model ...
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