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Hits 61 – 80 of 1.655

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 ...
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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 ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.358/ Abstract: We present a model to predict fine-grained emotions along the continuous dimensions of valence, arousal, and dominance (VAD) with a corpus with categorical emotion annotations. Our model is trained by minimizing the EMD (Earth Mover's Distance) loss between the predicted VAD score distribution and the categorical emotion distributions sorted along VAD, and it can simultaneously classify the emotion categories and predict the VAD scores for a given sentence. We use pre-trained RoBERTa-Large and fine-tune on three different corpora with categorical labels and evaluate on EmoBank corpus with VAD scores. We show that our approach reaches comparable performance to that of the state-of-the-art classifiers in categorical emotion classification and shows significant positive correlations with the ground truth VAD scores. Also, further training with supervision of VAD labels leads to improved performance especially when dataset is small. We ...
Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis
URL: https://underline.io/lecture/37582-dimensional-emotion-detection-from-categorical-emotion
https://dx.doi.org/10.48448/a9yr-0s78
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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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