Biomedical Text Classification Using Augmented Word Representation Based on Distributional and Relational Contexts

Table 6

Concept categorization performance with and .

Word embeddings	AP	BLESS	Battig	ESSLI_1a	ESSLI_2b	ESSLI_2c	Ohta-10-bio-words
GloVe_W	0.21642	0.215	0.10896	0.43182	0.5	0.37778	0.41379
GloVe_C	0.22139	0.215	0.11374	0.43182	0.55	0.35555	0.40517
GloVe_Merged	0.25373	0.255	0.12043	0.43181	0.5	0.37778	0.43965
WE	0.22637	0.29	0.11891	0.47727	0.5	0.35556	0.38793
CE	0.23134	0.285	0.11795	0.45455	0.525	0.33333	0.41379
Merged	0.26617	0.275	0.12120	0.5	0.55	0.4	0.42242

Bold means the best performance in the case of each dataset.