CRA: Difference between revisions
(Created page with ''''Centering Resonance Analysis''' ('''CRA''') extracts a network from a text by analysing its ''centers'', for which the ''Centering Theory'' states that they contain the main c…') |
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transparent tissue-thin paper, ... | transparent tissue-thin paper, ... | ||
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In the first step, this sentence is parsed to extract the NPs. For each of the words appearing in an NP, a node is created in the graph. | |||
<blockquote> | |||
<font color="silver">Half an <font color="black">ancient silver</font> fifty <font color="black">cent piece</font>, several <font color="blue">quotations</font> from <font color="black">John | |||
Donne</font>'s sermons written incorrectly, each on a <font color="black">separate piece</font> of | |||
<font color="red">transparent</font> <font color="black">tissue-thin paper</font>, ...</font> | |||
</blockquote> | |||
http://tqzamf.ath.cx/pkd/cra0.png | |||
Revision as of 22:46, 25 November 2010
Centering Resonance Analysis (CRA) extracts a network from a text by analysing its centers, for which the Centering Theory states that they contain the main contents of the text. According to Centering Theory, these centers are the Noun Phrases (NPs) of a text, that is the nouns together with any modifiers belonging to them. Thus, words within these centers define the words within the CRA text network, and the way they occur in the text can cause links between them.
Let us consider the following example sentence taken from the short story We Can Remember It for You Wholesale by Philip K. Dick:
Half an ancient silver fifty cent piece, several quotations from John Donne's sermons written incorrectly, each on a separate piece of transparent tissue-thin paper, ...
In the first step, this sentence is parsed to extract the NPs. For each of the words appearing in an NP, a node is created in the graph.
Half an ancient silver fifty cent piece, several quotations from John Donne's sermons written incorrectly, each on a separate piece of transparent tissue-thin paper, ...
