Graph-Community Detection for Cross-Document Topic Segment Relationship Identification
Table 8: Best results obtained in the 4S corpus. In bold are the highest scores obtained.
['[BOLD] Algorithm', '[BOLD] Weighting', '[BOLD] Scoring Function', '[ITALIC]  [BOLD] A [BOLD] R [BOLD] I', '[ITALIC]  [BOLD] F [BOLD] 1', '[ITALIC]  [BOLD] A [BOLD] c [BOLD] c']
In these experiments the Louvain technique performed better in all metrics. It should be noted that the best weighting scheme and scoring function were Count and Best tf-idf. These two combinations are different from one another in the sense that one just uses raw counts whereas the other takes into account an importance value of the words. The fact that different scoring functions worked better in different scenarios, shows that the corpora have particular characteristics and, thus, different ways to achieve a better model for the data are necessary.