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The principals of meaning: Extracting semantic dimensions from co-occurrence models of semantics
G Hollis, C Westbury - Psychonomic bulletin & review, 2016 - Springer
Notable progress has been made recently on computational models of semantics using
vector representations for word meaning (Mikolov, Chen, Corrado, & Dean, 2013; Mikolov …
vector representations for word meaning (Mikolov, Chen, Corrado, & Dean, 2013; Mikolov …
Building semantic memory from embodied and distributional language experience
Humans seamlessly make sense of a rapidly changing environment, using a seemingly
limitless knowledgebase to recognize and adapt to most situations we encounter. This …
limitless knowledgebase to recognize and adapt to most situations we encounter. This …
Word embeddings: A survey
Concepts, control, and context: A connectionist account of normal and disordered semantic cognition.
Semantic cognition requires conceptual representations shaped by verbal and nonverbal
experience and executive control processes that regulate activation of knowledge to meet …
experience and executive control processes that regulate activation of knowledge to meet …
Neural models for information retrieval
Neural ranking models for information retrieval (IR) use shallow or deep neural networks to
rank search results in response to a query. Traditional learning to rank models employ …
rank search results in response to a query. Traditional learning to rank models employ …