We proposed a rule-based approach to detect DS without the help of any quotation markers. Our approach creates coherent sections which segment the documents. Specialized rules detect DS on the sentence level inside those segments. The annotation is then expanded from those anchor sentences. Post-processing removes frame sub-sentences to get an exact span for the utterance. Our evaluation shows that the results appear stable throughout different datasets in the fictional domain and are comparable to the results achieved in related work. The tool even achieves a higher score compared to Jannidis et al. 2018 on the sentence level. The current algorithm still has issues with non-fictional texts and some types of fictional texts (especially romantic letters and reports written in first person singular) which suggests that it should be extended to detect the type of document in advance in order to classify in a more robust approach across different domains.