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61
AND does not mean OR: Using Formal Languages to Study Language Models’ Representations ...
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62
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.113 Abstract: In multi-modal dialogue systems, it is important to allow the use of images as part of a multi-turn conversation. Training such dialogue systems generally requires a large-scale dataset consisting of multi-turn dialogues that involve images, but such datasets rarely exist. In response, this paper proposes a 45k multi-modal dialogue dataset created with minimal human intervention. Our method to create such a dataset consists of (1) preparing and pre-processing text dialogue datasets, (2) creating image-mixed dialogues by using a text-to-image replacement technique, and (3) employing a contextual-similarity-based filtering step to ensure the contextual coherence of the dataset. To evaluate the validity of our dataset, we devise a simple retrieval model for dialogue sentence prediction tasks. Automatic metrics and human evaluation results on such tasks show that our dataset can be effectively used as training data for multi-modal dialogue ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/y28t-x953
https://underline.io/lecture/25874-constructing-multi-modal-dialogue-dataset-by-replacing-text-with-semantically-relevant-images
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63
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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64
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search ...
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65
DALC: the Dutch Abusive Language Corpus ...
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66
Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition ...
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67
VL-BERT+: Detecting Protected Groups in Hateful Multimodal Memes ...
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68
Attention-based Contextual Language Model Adaptation for Speech Recognition ...
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69
Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech ...
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70
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning ...
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71
LUX (Linguistic aspects Under eXamination): Discourse Analysis for Automatic Fake News Classification ...
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72
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions ...
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73
Evidence-based Factual Error Correction ...
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74
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images ...
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75
A DQN-based Approach to Finding Precise Evidences for Fact Verification ...
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76
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event ...
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77
A Span-based Dynamic Local Attention Model for Sequential Sentence Classification ...
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78
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection ...
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79
2A: Sentiment Analysis, Stylistic Analysis, and Argument Mining #1 ...
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80
On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation ...
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