stbusch

Thanks for the explanations. However, I can't see yet where `map` and `mapToList` are used. My IDE (IntelliJ) actually says they aren't. My approach to understand the code now is...

Thanks again.- I'm at the chapter Batch Learning of the tutorial now, trying to understand the corresponding parts of the sempre code. The classes `FeatureExtractor` and `Rule` refer to Rules...

Thanks for your elaborate explanation! Now I'm trying to track from the `main` method how sempre is setup for interaction. Apparently the fig/.... supporting packages are used pretty much, but...

Thanks again. The background of all my questions that I would like to create a plugin for an existing NLP java application that enhances it with sempre functionality. That requires...

Thanks again. That will save me some time. Now I'm back at the Batch Learning chapter of the tutorial. There it says > The rule feature domain tells the feature...

Thanks again, ppasupat. While I get the idea, I can't seem to find where this recursive gathering of features and calculating of scores is actually located in the code. The...

Thank you! With your explanations and further studying of the code I now believe to have understood the following: - the field `chart` of the class (`Beam)ChartParserState` keeps track of...

Thanks. Next thing will be to investigate the implementation of the math behind it, the actual calculation of parameters and probabilities.

So I'm trying to get to the core of the math behind the lerning process. I've brushed up my knowledge on Stochastic Gradient Descent, but have problems mapping it to...

A question about how to tell a `FeatureExtractor` which features it is supposed to use: I understand these features are specified in the command line using `-FeatureExtractor.featureDomains......` . But where...