Papers with computation models
Neural Activation Semantic Models: Computational lexical semantic models of localized neural activations (C18-1)
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| Challenge: | Neural activation models have been proposed to map word semantics to localized neural activations. |
| Approach: | They propose a computational model that estimates semantic similarity in the neural activation space and investigate its performance for various natural language processing tasks. |
| Outcome: | The proposed model performs better than state-of-the-art word embeddings for the task of semantic similarity estimation between very similar or very dissimilar words while performing well on other tasks such as entailment and word categorization. |
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition (2023.acl-long)
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| Challenge: | a recent study shows that word acquisition is an efficient, supervised, and continual process. |
| Approach: | They develop a computational process for word acquisition through comparative learning . they frame the acquisition of words as representation-symbol mapping . |
| Outcome: | The proposed method can be used to learn the meaning of a word efficiently and efficiently. |