Dialogue Session Segmentation by Embedding-Enhanced TextTiling
Table 1: Dialogue session segmentation performance in terms of precision (P), recall (R) and F-measure (F). Results are in percentage.
['Method', 'P', 'R', 'F']
As seen, our approach significantly outperforms baselines by a large margin in terms of both precision and recall. Besides, we can see that MMD obtains low performance, which is mainly because the approach cannot be easily adapted to other datasets like short sentences of conversation utterances. In summary, we achieve an F-score higher than baseline methods by more than 20%, showing the effectiveness of enhancing TextTiling with modern word embeddings.