“Xingchao work”版本间的差异
来自cslt Wiki
| 第32行： | 第32行： | ||
Pre-process corpus. | Pre-process corpus. | ||
| − | Start at : 2014-09-30 | + | Start at : 2014-09-30. |
| + | Use toolkit Wikipedia_Extractor [http://medialab.di.unipi.it/wiki/Wikipedia_Extractor] waiting | ||
===Moses translation model=== | ===Moses translation model=== | ||
2014年10月2日 (四) 12:24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 <--> End at : 2014-10-02 Test 25,50-dimension SSA-Model for transform Start at : 2014-10-02 Test All-Belong SSA model for transform Start at : 2014-10-02
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.
Use toolkit Wikipedia_Extractor [7] waiting
Moses translation model
Pre-process corpus, remove the sentence which contains rarely seen words.
Start at : 2014-09-30 <--> End at : 2014-10-02 <--> Result :
Original lines is 8973724, Clean corpus (remove sentences which contain words less than 10) is 6415723
Train Model.
Start at : 2014-10-02
Non Linear Transform Testing
Work Schedule
Re-train best mse for test data.
Start at : 2014-10-01 <--> End at : 2014-10-02 <--> Result :
Performance is inconsistent to expectations. Best result for Non-Linear is 1e-2.
