Establishing reliable storyline clustering benchmarking data sets and metrics is one of the goals of the SUMMA project, as good storyline clusters are the prerequisite for downstream storyline summarization, visualization, and predictive anticipation of upcoming developments.
to enable joint multi-task learning for multilingual neural translation of morphologically rich languages we replace the attention mechanism with the sliding-window mechanism and operate the sequence to sequence neural translation model on the character-level rather than on the word-level.