Uses

The model should be used giving as input a short paragraph of text taken from a news programme or article in Italian about which it is requested to get an answer about whether or not it contains a change of topic. The model has been trained to detect topic changes without apriori knowledge of possible points of separation (e.g., paragraphs or speaker turns). For this reason it tends to be sensitive to the amount of text supposed to belong to either of the two subsequent topics, and therefore performs better when the sought for topic change occurs approximately in the middle of the input. To reduce the impact of this issue, it is suggested to use the model on a sequence of partially overlapping pieces of text taken from the document to be analysed, and to further process the results sequence to consolidate a decision.

Out-of-Scope Use

The model should not be used as a general purpose topic change detector, i.e. on text which is not originated from news programme transcription or siilar content.