Sentence Compression in Spanish driven by Discourse Segmentation and Language Models
Table 3: Divergence tests by using FRESA without references. FM is an statistical mean of 1-grammes (F1), 2-grammes (F2) and SU4-grammes (F4).
['Algorithm', 'F1', 'F2', 'F4', 'F [ITALIC] M']
The FRESA score FM asses the summaries qualities. Lower values of FM means significant difference whit respect to the original text (i.e. more radical compressions). Considering FM values, we see that First system is found more related to Human1 than Human2 by FRESA and Human2 is closer to Random system performance. The FM value of All system suggests that it is the most aggressive approach.