Parameters for Topic Boundary Detection in Multi-Party Dialogues
Margot Mieskes, Michael Strube · 2008
We present a topic boundary detection method that searches for connections between sequences of utterances in multi party dialogues.The connections are established based on word identity.We compare our method to a state-of-the art automatic topic boundary detection method that was also used on multi party dialogues.We checked various methods of preprocessing of the data, including stemming, lemmatization and stopword filtering with a text-based as well as speech-based stopword lists.Using standard evaluation methods we found that our method outperformed the state-of-the art method.