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		<title>Zhongda Xie 14-12-01 - 版本历史</title>
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		<updated>2026-04-04T22:56:06Z</updated>
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		<id>http://www.cslt.org/mediawiki/index.php?title=Zhongda_Xie_14-12-01&amp;diff=12809&amp;oldid=prev</id>
		<title>Xiezd：以“Progress in Last Week:  (1)Use the Dictionary to transform SenticNet English entries into Chinese terms.  (2)Use HIT wordNet to map the Chinese terms to HIT-wordNet...”为内容创建页面</title>
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				<updated>2014-12-01T11:54:24Z</updated>
		
		<summary type="html">&lt;p&gt;以“Progress in Last Week:  (1)Use the Dictionary to transform SenticNet English entries into Chinese terms.  (2)Use HIT wordNet to map the Chinese terms to HIT-wordNet...”为内容创建页面&lt;/p&gt;
&lt;p&gt;&lt;b&gt;新页面&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Progress in Last Week:&lt;br /&gt;
&lt;br /&gt;
(1)Use the Dictionary to transform SenticNet English entries into Chinese terms.&lt;br /&gt;
&lt;br /&gt;
(2)Use HIT wordNet to map the Chinese terms to HIT-wordNet Concepts.&lt;br /&gt;
&lt;br /&gt;
(3)In our text collection, we search sentences including the instance keywords of the Concepts in (2).&lt;br /&gt;
&lt;br /&gt;
Plan for This Week:&lt;br /&gt;
&lt;br /&gt;
For each concept, We already have relevant sentences, Run LDA on these sentences.&lt;br /&gt;
&lt;br /&gt;
Each topic of the LDA result is considered as the a sense of the concept, and it is taken as the entry in Chinese-SenticNet.&lt;br /&gt;
&lt;br /&gt;
Each entry should have five terms, which often co-occur with the entry concept, and these are extracted from the LDA result--- the most relevant words to the topic.&lt;/div&gt;</summary>
		<author><name>Xiezd</name></author>	</entry>

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