Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

What kind of model is suitable for this scenery? (deal with synonym) #2

Open
guotong1988 opened this issue May 24, 2018 · 1 comment

Comments

@guotong1988
Copy link

guotong1988 commented May 24, 2018

Train data: Who is Michael Jordan? and Who is Air Jordan? are one right match.
The test data is Who is Jumpman Jordan? and Who is Air Jordan?

What feature should I add for training? Which model can capture the match info for this case?

Thank you!!!
@Accagain2014

@Accagain2014
Copy link
Owner

I think in this case, we should use some semantic model to capture the hidden semantic relation between "Michael Jordan and Air Jordan". Because we can't get any different information in the level of words.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants