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Learning Words by Drawing Images
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019We propose a framework for learning through drawing. Our goal is to learn the correspondence between spoken words and abstract visual attributes, from a dataset of spoken descriptions of images. Building upon recent findings that GAN representations can be manipulated to edit semantic concepts in the generated output, we propose a new method to use ...
Didac Suris +5 more
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Learning the semantics of words and pictures
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2002We present a statistical model for organizing image collections which integrates semantic information provided by associate text and visual information provided by image features. The model is very promising for information retrieval tasks such as database browsing and searching for images based on text and/or image features.
Kobus Barnard, David A. Forsyth
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Word learning in a multimodal environment
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002We are creating human machine interfaces which let people communicate with machines using natural modalities including speech and gesture. A problem with current multimodal interfaces is that users are forced to learn the set of words and gestures which the interface understands.
Deb Roy, Alex Pentland
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Controversies in the study of word learning
Behavioral and Brain Sciences, 2001How Children Learn the Meanings of Words (HCLMW) defends the theory that words are learned through sophisticated and early-emerging cognitive abilities that have evolved for other purposes; there is no dedicated mental mechanism that is special to word learning.
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Incidental word learning: The role of decomposition in the learning of pseudocompound words
The Cognitive Psychology BulletinIncidental word learning refers to the learning of new words as a by-product of reading. We are interested in how decomposition of words into smaller units (morphemes) impacts this learning process and how this interacts with semantic transparency. We have developed pseudo-compound words which will be presented in two broad learning conditions (1) as ...
Emily Bellerby +2 more
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Language and Speech, 2000
The early phonological development of six normally developing children learning Finnish is reported. The primary focus is on their production of multisyllabic targets. The one-syllable and two-syllable forms found in the speech of children learning English has often been seen as a universal feature of early words. Later research has indicated that, for
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The early phonological development of six normally developing children learning Finnish is reported. The primary focus is on their production of multisyllabic targets. The one-syllable and two-syllable forms found in the speech of children learning English has often been seen as a universal feature of early words. Later research has indicated that, for
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Machine Learning in Epigenetic Diseases
Medical Epigenetics, 2021Robert E Akins, Karyn Robinson
exaly
Impact of Word Embedding Models on Text Analytics in Deep Learning Environment: A Review
Artificial Intelligence Review, 2023Naresh Kumar Nagwani +2 more
exaly