What Corpus Linguistics can Learn from Neuroscience

来源 :第三届“网络时代的心理与行为研究前沿”——行为与文本数据分析研讨会 | 被引量 : 0次 | 上传用户:l420303622163com
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  Two recent results from neuroscience can provide useful constraint for models of linguistic processes.Firstly,it appears that time is represented(at least in some areas)as a population code(MacDonald,Lepage,Eden & Eichenbaum,2011).Secondly,it seems that as one moves from auditory cortex to the prefrontal cortex linguistic structure is captured by a set of temporal windows of increasing duration – analogous to visual receptive fields(Lerner,Honey,Silbert & Hasson,2011).In this talk,I will describe a large scale model of text processing inspired by these observations.The model proposes that we can think of linguistic processing as a large structured recurrent network,with weights defined by pointwise mutual information.The model will be demonstrated on a question answering task.
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