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61
Extracting Event Temporal Relations via Hyperbolic Geometry ...
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62
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging ...
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63
Contrastive Explanations for Model Interpretability ...
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64
Open Aspect Target Sentiment Classification with Natural Language Prompts ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.509/ Abstract: For many business applications, we often seek to analyze sentiments associated with any arbitrary aspects of commercial products, despite having a very limited amount of labels or even without any labels at all. However, existing aspect target sentiment classification (ATSC) models are not trainable if annotated datasets are not available. Even with labeled data, they fall short of reaching satisfactory performance. To address this, we propose simple approaches that better solve ATSC with natural language prompts, enabling the task under zero-shot cases and enhancing supervised settings, especially for few-shot cases. Under the few-shot setting for SemEval 2014 Task 4 laptop domain, our method of reformulating ATSC as an NLI task outperforms supervised SOTA approaches by up to 24.13 accuracy points and 33.14 macro F1 points. Moreover, we demonstrate that our prompts could handle implicitly stated aspects as well: our models reach ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Inference; Natural Language Processing; Sentiment Analysis
URL: https://dx.doi.org/10.48448/xy0p-qf26
https://underline.io/lecture/37815-open-aspect-target-sentiment-classification-with-natural-language-prompts
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65
Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
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66
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity ...
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67
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations ...
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68
Visual Goal-Step Inference using wikiHow ...
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69
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ...
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70
Truth-Conditional Captions for Time Series Data ...
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71
Knowledge Base Completion Meets Transfer Learning ...
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72
Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ...
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73
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention ...
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74
Analyzing the Surprising Variability in Word Embedding Stability Across Languages ...
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75
Neural Machine Translation with Heterogeneous Topic Knowledge Embeddings ...
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76
Towards Zero-Shot Knowledge Distillation for Natural Language Processing ...
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77
Corrected CBOW Performs as well as Skip-gram ...
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78
SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations ...
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79
Automatic Text Evaluation through the Lens of Wasserstein Barycenters ...
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80
Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa ...
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