Hi everybody,

I’m Felix from Germany and I’m excited to meet all of you! I’m a CS student 
with a focus on computational linguistics. I have used DBPedia before in an app 
I built for a Hackathon, which produced an automatic generated quiz from 
DBPedia data. So I would love to contribute to the main project!

I will graduate in the next few months and afterwards I’m planning to start my 
master studies. Right now I’m writing my bachelor’s thesis on topic models used 
in social networks. 

From the given project ideas, I can see myself working on 5.1 or 5.9. I already 
looked into the warm-up tasks and links provided (thumbs up for the Germany 
national football team). Unfortunately I’m really busy at the moment due to my 
thesis, but I will do my best to make small contributions.

I already have a question about the 5.1 task: 
How would you suggest to do the verb ranking and what would you use it for? 
Spontaneously I would think about frequency ranking. But I’m not sure how that 
could be used for. For deciding which facts are really meaningful?
You also mentioned that the construction of the training set will be done by 
with crowdsourcing. FrameNet already provides 170,000 annotated sentences. So 
why produce additional data?

I’ll look forward to take a closer look at the code!

Best,
Felix
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