Dialogue Session Segmentation by Embedding-Enhanced TextTiling
Table 2: Analysis of word embedding strategies and similarity heuristics. Bold numbers are the highest value in each row; underlined ones are the highest in each column.
['Embeddings', 'sum pooling P', 'sum pooling R', 'sum pooling F', '[ITALIC] heuristic-max P', '[ITALIC] heuristic-max R', '[ITALIC] heuristic-max F', '[ITALIC] heuristic-avg P', '[ITALIC] heuristic-avg R', '[ITALIC] heuristic-avg F']
We observe that our virtual-sentence strategy consistently outperforms the other two in all three matching heuristics. The results suggest that combining a query and a reply does provide more information in learning dialogue-specific word embeddings.