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The idea that at least some aspects of word meaning can be induced from patterns of word co-occurrence is becoming increasingly popular. However, there is less agreement about the precise computations involved, and the appropriate tests to distinguish between the various possibilities. It is important that the effect of the relevant design choices and(More)
We present a new account of the fine-grained structure of semantic categories derived from neuropsychological, behavioral, and developmental data. The account places theoretical emphasis on the functions of the referents of concepts. We claim (i) that the distinctiveness of functional features correlated with perceptual features varies across semantic(More)
In a previous article, we presented a systematic computational study of the extraction of semantic representations from the word-word co-occurrence statistics of large text corpora. The conclusion was that semantic vectors of pointwise mutual information values from very small co-occurrence windows, together with a cosine distance measure, consistently(More)
Several recent papers have described how lexical properties of words can be captured by simple measurements of which other words tend to occur close to them. At a practical level, word co-occurrence statistics are used to generate high dimensional vector space representations and appropriate distance metrics are defined on those spaces. The resulting(More)
Recent work has demonstrated that counts of which other words co-occur with a word of interest can reflect interesting properties of that word. We have studied aspects of this kind of methodology by systematically examining the effects of different combinations of parameters used in the preparation of co-occurrence statistics. Several psychologically(More)
It has been suggested that some aspects of mental state understanding recruit a rudimentary, but fast and efficient, processing system, demonstrated by the obligatory slowing down of judgements about what the self can see when this is incongruent with what another can see. We tested the social nature of this system by investigating to what extent these(More)
To help understand how semantic information is represented in the human brain, a number of previous studies have explored how a linear mapping from corpus derived semantic representations to corresponding patterns of fMRI brain activations can be learned. They have demonstrated that such a mapping for concrete nouns is able to predict brain activations with(More)
We used two established methods for analysing the EEG response of the neurotypical adult human brain to examine the execution and observation of simple motor actions. In one, execution or observation of a button-press in response to a tone caused a decrease in the power at 8-13 Hz ("mu") frequencies. In the other, the response preparation (or the inferred(More)
There have been many different theoretical proposals for ways of representing word meaning in a distributed fashion. We ourselves have put forward a framework for expressing aspects of lexical semantics in terms of patterns of word co-occurrences measured in large linguistic corpora. Recent advances in the modelling of fMRI measures of brain activity have(More)