The current setup only allows the extraction of features for one source and one target. This is quite hard-coded on the respective class. For advanced experiments (e.g. sentence ranking QTLPWP2) we would be interested in use cases where there is only one source sentence and many respective targets
I am working on this on branch sentence_level. This will work by reading and writing XML files, instead of tabbed plain text files, in order to allow a flexible number of target sentences per sentence
The current setup only allows the extraction of features for one source and one target. This is quite hard-coded on the respective class. For advanced experiments (e.g. sentence ranking QTLPWP2) we would be interested in use cases where there is only one source sentence and many respective targets