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Hits 61 – 80 of 1.029

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 ...
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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 ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.817/ Abstract: A new metric BaryScore to evaluate text generation based on deep contextualized embeddings (e.g, BERT, Roberta, ELMo) is introduced. This metric is motivated by a new framework relying on optimal transport tools, i.e, Wasserstein distance and barycenter. By modelling the layer output of deep contextualized embeddings as a probability distribution rather than by a vector embedding; this framework provides a natural way to aggregate the different outputs through the Wasserstein space topology. In addition, it provides theoretical grounds to our metric and offers an alternative to available solutions (e.g, MoverScore and BertScore). Numerical evaluation is performed on four different tasks: machine translation, summarization, data2text generation and image captioning. Our results show that BaryScore outperforms other BERT based metrics and exhibits more consistent behaviour in particular for text summarization. ...
Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Generation
URL: https://dx.doi.org/10.48448/yrzd-ge67
https://underline.io/lecture/37437-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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