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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 ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.165/ Abstract: Understanding what sequence of steps are needed to complete a goal can help artificial intelligence systems reason about human activities. Past work in NLP has examined the task of goal-step inference for text. We introduce the visual analogue. We propose the Visual Goal-Step Inference (VGSI) task, where a model is given a textual goal and must choose which of four images represents a plausible step towards that goal. With a new dataset harvested from wikiHow consisting of 772,277 images representing human actions, we show that our task is challenging for state-of-the-art multimodal models. Moreover, the multimodal representation learned from our data can be effectively transferred to other datasets like HowTo100m, increasing the VGSI accuracy by 15 - 20%. Our task will facilitate multimodal reasoning about procedural events. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://dx.doi.org/10.48448/z6gp-g111
https://underline.io/lecture/37557-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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