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Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification
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In: Front Artif Intell (2022)
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Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ...
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Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ...
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Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods ...
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Style versus Content: A distinction without a (learnable) difference?
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In: International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03112354 ; International Conference on Computational Linguistics, Dec 2020, Virtual, Spain (2020)
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Language-Driven Region Pointer Advancement for Controllable Image Captioning ...
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English WordNet Taxonomic Random Walk Pseudo-Corpora
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In: Conference papers (2020)
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Language-Driven Region Pointer Advancement for Controllable Image Captioning
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In: Conference papers (2020)
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Abstract:
Controllable Image Captioning is a recent sub-field in the multi-modal task of Image Captioning wherein constraints are placed on which regions in an image should be described in the generated natural language caption. This puts a stronger focus on producing more detailed descriptions, and opens the door for more end-user control over results. A vital component of the Controllable Image Captioning architecture is the mechanism that decides the timing of attending to each region through the advancement of a region pointer. In this paper, we propose a novel method for predicting the timing of region pointer advancement by treating the advancement step as a natural part of the language structure via a NEXT-token, motivated by a strong correlation to the sentence structure in the training data. We find that our timing agrees with the ground-truth timing in the Flickr30k Entities test data with a precision of 86.55% and a recall of 97.92%. Our model implementing this technique improves the state-of-the-art on standard captioning metrics while additionally demonstrating a considerably larger effective vocabulary size.
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Keyword:
Artificial Intelligence and Robotics; computer vision; controllable image captioning; deep learning; machine learning; natural language generation
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URL: https://arrow.tudublin.ie/scschcomcon/286 https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1303&context=scschcomcon
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Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue
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In: Conference papers (2020)
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Synthetic, Yet Natural: Properties of WordNet Random Walk Corpora and the impact of rare words on embedding performance
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In: Conference papers (2019)
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Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings
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In: Articles (2019)
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TEST: A terminology extraction system for technology related terms
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In: Conference papers (2019)
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Modular Mechanistic Networks: On Bridging Mechanistic and Phenomenological Models with Deep Neural Networks in Natural Language Processing ...
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What is not where: the challenge of integrating spatial representations into deep learning architectures ...
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Is it worth it? Budget-related evaluation metrics for model selection ...
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Is it worth it? Budget-related evaluation metrics for model selection
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In: Conference papers (2018)
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Exploring the Functional and Geometric Bias of Spatial Relations Using Neural Language Models
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In: Conference papers (2018)
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Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier ...
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