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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 ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.597/ Abstract: Stories and narratives are composed based on a variety of events. Understanding how these events are semantically related to each other is the essence of reading comprehension. Recent event-centric reading comprehension datasets focus on either event arguments or event temporal commonsense. Although these tasks evaluate machines' ability of narrative understanding, human-like reading comprehension requires the capability to process event-based semantics beyond arguments and temporal commonsense. For example, to understand causality between events, we need to infer motivations or purposes; to understand event hierarchy, we need to parse the composition of events. To facilitate these tasks, we introduce ESTER, a comprehensive machine reading comprehension (MRC) dataset for Event Semantic Relation Reasoning. We study the five most commonly used event semantic relations and formulate them as question answering tasks. Experimental ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Question-Answering Systems
URL: https://underline.io/lecture/37869-ester-a-machine-reading-comprehension-dataset-for-reasoning-about-event-semantic-relations
https://dx.doi.org/10.48448/xk0s-v563
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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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