“Xingchao work”版本间的差异
来自cslt Wiki
| 第14行： | 第14行： | ||
===SSA Model=== | ===SSA Model=== | ||
| − | Build 2-dimension SSA-Model. | + | Build 2-dimension SSA-Model. |
| − | Start at : 2014-09-30 | + | Start at : 2014-09-30 |
===SEMPRE Research=== | ===SEMPRE Research=== | ||
| 第27行： | 第27行： | ||
===Knowledge Vector=== | ===Knowledge Vector=== | ||
| − | Pre-process corpus. | + | Pre-process corpus. |
| − | Start at : 2014-09-30 | + | Start at : 2014-09-30 |
===Moses translation model=== | ===Moses translation model=== | ||
| − | Pre-process corpus, remove the sentence which contains rarely seen words. | + | Pre-process corpus, remove the sentence which contains rarely seen words. |
| − | Start at : 2014-09-30 | + | Start at : 2014-09-30 |
2014年9月30日 (二) 08:38的版本
目录
Paper Recommendation
Pre-Trained Multi-View Word Embedding.[1]
Learning Word Representation Considering Proximity and Ambiguity.[2]
Continuous Distributed Representations of Words as Input of LSTM Network Language Model.[3]
WikiRelate! Computing Semantic Relatedness Using Wikipedia.[4]
Japanese-Spanish Thesaurus Construction Using English as a Pivot[5]
Chaos Work
SSA Model
Build 2-dimension SSA-Model. Start at : 2014-09-30
SEMPRE Research
Work Schedule
Download SEMPRE toolkit. Start at : 2014-09-30
Semantic Parsing via Paraphrasing [6]
Knowledge Vector
Pre-process corpus. Start at : 2014-09-30
Moses translation model
Pre-process corpus, remove the sentence which contains rarely seen words. Start at : 2014-09-30
