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generalised-brown: Source code for AAAI 2016 paper

Chester, Sean; Derczynski, Leon


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    <subfield code="a">clustering</subfield>
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    <subfield code="a">natural language processing</subfield>
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    <subfield code="a">Brown clustering</subfield>
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  <controlfield tag="005">20190410033614.0</controlfield>
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    <subfield code="d">12-17 February 2016</subfield>
    <subfield code="g">AAAI-16</subfield>
    <subfield code="a">The Thirtieth AAAI Conference on Artificial Intelligence</subfield>
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    <subfield code="a">Derczynski, Leon</subfield>
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    <subfield code="u">Norges teknisk-naturvitenskapelige universitet (NTNU)</subfield>
    <subfield code="a">Chester, Sean</subfield>
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    <subfield code="a">generalised-brown: Source code for AAAI 2016 paper</subfield>
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    <subfield code="a">&lt;p&gt;This is the first release of the generalised-brown software. It consists of two modules for constructing clusters of word types:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;The &lt;em&gt;merge_generator module&lt;/em&gt; is an extension of Brown clustering (based on the C++11 implementation of wcluster) that tracks state in the form of a merge log&lt;/li&gt;
	&lt;li&gt;The &lt;em&gt;cluster_generator&lt;/em&gt; is a python script that reconstructs the state of the Brown clustering algorithm from the merge log in order to vary the granularity of the output clusters.&lt;/li&gt;
&lt;/ul&gt;</subfield>
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    <subfield code="a">https://github.com/sean-chester/generalised-brown/tree/v1.0</subfield>
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