“Tianyi Luo 2015-12-28”版本间的差异
来自cslt Wiki
（以“=== Plan to do next week === * Enhance the function of couplet generation function. * To conduct the experiments to submit a journal. * To try new kernel function to...”为内容创建页面） |
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| 第5行： | 第5行： | ||
=== Work done in this week === | === Work done in this week === | ||
* Finish some parts of work about make the lab's demo. | * Finish some parts of work about make the lab's demo. | ||
| − | |||
* Finish the work about local-based attention Chinese couplet generation. | * Finish the work about local-based attention Chinese couplet generation. | ||
开 业 大 吉： | 开 业 大 吉： | ||
| 第32行： | 第31行： | ||
* To finish the work about make the lab's demo. | * To finish the work about make the lab's demo. | ||
* To finish the work about the poem and couplet generation's SMT method. | * To finish the work about the poem and couplet generation's SMT method. | ||
| + | * To tackle the problem of attention-based problem. | ||
===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]] | ||
2015年12月28日 (一) 00:57的版本
Plan to do next week
- Enhance the function of couplet generation function.
- To conduct the experiments to submit a journal.
- 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 the work about local-based attention Chinese couplet generation.
开 业 大 吉：
同 行 增 劲 旅：
training corpus:同 行 增 劲 旅 / 商 界 跃 新 军 / ;
test result:
Non-local attention-based:
[ 0.15731922 0.15440576 0.154654 0.13509884 0.13408586 0.13055836 0.13387793] [ 0.15748511 0.15446058 0.15466693 0.13504058 0.1340386 0.13050689 0.13380134] [ 0.15726063 0.15442531 0.15467082 0.13510644 0.13408728 0.13055961 0.1338899 ] [ 0.15715003 0.15439823 0.15466341 0.13514642 0.13413033 0.13059665 0.13391495] [ 0.15717115 0.15440425 0.15468264 0.13513321 0.13412073 0.13058177 0.13390623]
同 行 增 劲 旅 / 春 风 送 四 季 /
Local attention-based:
同 行 增 劲 旅 / 人 情 安 四 春 /
Plan to do next week
- To finish the work about make 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.
Interested papers
- Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [pdf]
