Synonym extraction and abbreviation expansion with ensembles of semantic spaces

Table 7 Disjoint corpus ensemble results on clinical + medical development set

Strategy	Normalize	Abbr →Exp		Exp →Abbr		Syn
		Clinical	Medical	Clinical	Medical	Clinical	Medical
		RI_4	RI_4	RI_4	RI_8	RI_20	RI_20
		RP_4_sw	RP_4_sw	RP_4_sw	RP_8_sw	RP_4_sw	RP_2_sw
AVG	True	0.13		0.09		0.39
AVG	False	0.24		0.11		0.39
SUM	True	0.13		0.09		0.34
SUM	False	0.32		0.17		0.52
AVG →AVG		0.15		0.09		0.41
SUM →SUM		0.13		0.07		0.40
AVG →SUM		0.15		0.09		0.41
SUM →AVG		0.13		0.07		0.40

Results (P = weighted precision, R = recall, top ten) of the best models with and without post-processing on the three tasks. Dynamic # of suggestions allows the model to suggest less than ten terms in order to improve precision. The results are based on the application of the model combinations to the development data.

ISSN: 2041-1480