HYP Status Update
Code:
1) Finished porting to tembusu
2) Combined SenseTopic with NaiveBayes
ToDo:
1) Analsye p(sense|topic), p(feature|topic)
2) Build a model combining NaiveBayes and SenseTopic
3) Build a model using Sentence Topic
4) Build a WordNet Sense1 Model as another Basecase
5) Take a look at DSO Corpus and the possibity of merging it with SemCor
Senseval2 Result(official scorer):
Most Frequent: 61.7%
NaiveBayes: 64.1%
SenseTopic: 61.9%
Sensetopic(lcontex, lpos both on) Crosstraining Result:
Most Frequent : 65.73%
2 topics: 67.18%
8 topics: 68.20%
10 topics: 68.26%
17 topics: 68.38%
19 topics: 68.39%
20 topics: 69.23%
21 topics: 68.41%
23 topics: 68.42%
25 topics: 69.21%
30 topics: 68.45%
40 topics: 69.20%
60 topics: 68.49%
80 topics: 68.50%
1) Finished porting to tembusu
2) Combined SenseTopic with NaiveBayes
ToDo:
1) Analsye p(sense|topic), p(feature|topic)
2) Build a model combining NaiveBayes and SenseTopic
3) Build a model using Sentence Topic
4) Build a WordNet Sense1 Model as another Basecase
5) Take a look at DSO Corpus and the possibity of merging it with SemCor
Senseval2 Result(official scorer):
Most Frequent: 61.7%
NaiveBayes: 64.1%
SenseTopic: 61.9%
Sensetopic(lcontex, lpos both on) Crosstraining Result:
Most Frequent : 65.73%
2 topics: 67.18%
8 topics: 68.20%
10 topics: 68.26%
17 topics: 68.38%
19 topics: 68.39%
20 topics: 69.23%
21 topics: 68.41%
23 topics: 68.42%
25 topics: 69.21%
30 topics: 68.45%
40 topics: 69.20%
60 topics: 68.49%
80 topics: 68.50%

0 Comments:
Post a Comment
<< Home