Skip to main content

Table 2 Performance on the BioSimVerb (in ρ) using representations learned with different context configurations. (Bold: best-performing configuration and its score)

From: A neural classification method for supporting the creation of BioVerbNet

Baseline

Spearman’s ρ

BOW (win=5)

0.4664

DEP-ALL

0.4323

Configurations: Verb

 

POOL-ALL

0.4724

conj+obj+pcomp+prep+rel+subj

0.475

conj+obj+prep+rel+subj(Best)

0.4889

conj+obj+pcomp+prep+subj

0.4578

conj+obj+pcomp+rel+subj

0.4478

conj+obj+pcomp+prep+rel

0.4406

conj+obj+prep+subj

0.4611

conj+obj+rel+subj

0.4572

conj+obj+prep+rel

0.442

comp+obj+pcomp+prep+rel+subj

0.4376

comp+conj+obj+prep+rel+subj

0.4762

comp+conj+obj+pcomp+prep+subj

0.4655

comp+conj+obj+pcomp+rel+subj

0.4583

comp+conj+obj+pcomp+prep+rel

0.4413

comp+conj+obj+prep+subj

0.4635

comp+conj+obj+rel+subj

0.4592

comp+conj+obj+prep+rel

0.442

obj+pcomp+prep+rel+subj

0.4446

obj+prep+rel+subj

0.441

  1. BOW denotes a basic SGNS learned with bag-of-words context with context window size 5. DEP-ALL denotes a configuration where no filtering of context is used. POOL-ALL denotes a configuration where all individual context bags from the verb-related pools are used. “Best” identifies the best-performing configuration found