Tianyi Luo 2015-12-28 - 版本历史

2015年12月31日 (四) 05:11 Lty

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 * To tackle the problem of attention-based programe.
 * To implement the reading comprehension qa system.
 ===Interested papers ===
 *Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [[http://zheng-wen.com/Cascading_Bandit_Paper.pdf pdf]]
 * Neural Machine Translation by Joint Learning to Align and Translate(ICLR 2015)[[http://xueshu.baidu.com/s?wd=paperuri%3A%283242f94dcbfc892f63c9f51acd8ef8ce%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Farxiv.org%2Fabs%2F1409.0473&ie=utf-8 pdf]]

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 * To finish the work about the SMT method implementation of the poem generation.
 * To tackle the problem of attention-based programe.
 ===Interested papers ===
 *Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [[http://zheng-wen.com/Cascading_Bandit_Paper.pdf pdf]]
 * Neural Machine Translation by Joint Learning to Align and Translate(ICLR 2015)[[http://xueshu.baidu.com/s?wd=paperuri%3A%283242f94dcbfc892f63c9f51acd8ef8ce%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Farxiv.org%2Fabs%2F1409.0473&ie=utf-8 pdf]]

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 === Plan to do next week ===
 * To finish the work about making the lab's demo.
 * To try new kernel function to model candidate similarity more efficiently.
 === Work done in this week ===
 * Finish some parts of work about making the lab's demo.
-* Finish the work about local-based attention Chinese couplet generation.
+* Finish the work about local-based attention Chinese couplet generation model.
 开 业 大 吉：
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 === Plan to do next week ===
 * To finish the work about making the lab's demo.
-* To finish the work about the poem and couplet generation's SMT method.
+* To finish the work about the SMT method implementation of the poem generation.
 * To tackle the problem of attention-based programe.

@@ 第31行： / 第31行： @@
 * To finish the work about making the lab's demo.
 * To finish the work about the poem and couplet generation's SMT method.
-* To tackle the problem of attention-based problem.
+* To tackle the problem of attention-based programe.
 ===Interested papers ===
 *Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [[http://zheng-wen.com/Cascading_Bandit_Paper.pdf pdf]]
 * Neural Machine Translation by Joint Learning to Align and Translate(ICLR 2015)[[http://xueshu.baidu.com/s?wd=paperuri%3A%283242f94dcbfc892f63c9f51acd8ef8ce%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Farxiv.org%2Fabs%2F1409.0473&ie=utf-8 pdf]]

@@ 第1行： / 第1行： @@
 === Plan to do next week ===
 * Enhance the function of couplet generation function.
-* To finish the work about make the lab's demo.
+* To finish the work about making the lab's demo.
 * To try new kernel function to model candidate similarity more efficiently.
 === Work done in this week ===
-* Finish some parts of work about make the lab's demo.
+* Finish some parts of work about making the lab's demo.
 * Finish the work about local-based attention Chinese couplet generation.
 开 业 大 吉：
@@ 第29行： / 第29行： @@
 === Plan to do next week ===
-* To finish the work about make the lab's demo.
+* To finish the work about making the lab's demo.
 * To finish the work about the poem and couplet generation's SMT method.
 * To tackle the problem of attention-based problem.

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 ===Interested papers ===
 *Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [[http://zheng-wen.com/Cascading_Bandit_Paper.pdf pdf]]
-* Neural Machine Translation by Joint Learning to Align and Translate(ICLR 2015)[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c3/Neural_Machine_Translation_by_Joint_Learning_to_Align_and_Translate.pdf]
+* Neural Machine Translation by Joint Learning to Align and Translate(ICLR 2015)[http://xueshu.baidu.com/s?wd=paperuri%3A%283242f94dcbfc892f63c9f51acd8ef8ce%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Farxiv.org%2Fabs%2F1409.0473&ie=utf-8 pdf]

←上一版本		2015年12月28日 (一) 15:30的版本
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	===Interested papers ===		===Interested papers ===
	*Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [[http://zheng-wen.com/Cascading_Bandit_Paper.pdf pdf]]		*Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [[http://zheng-wen.com/Cascading_Bandit_Paper.pdf pdf]]
		+	* Neural Machine Translation by Joint Learning to Align and Translate(ICLR 2015)[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c3/Neural_Machine_Translation_by_Joint_Learning_to_Align_and_Translate.pdf]