default_multi.cfg

[BASIC]
# the directory of input ontologies; mandatory
ontology_dir = ~/Exp5_Conference/ontologies/

# the output director for the embedding
# default: $cache_dir/output
# embedding_dir = output_embedding
embedding_dir = ~/Exp5_Conference/owl2vec/d2_r4_nr_p

[DOCUMENT]

# cache directory for storing files
# default: ./cache/
cache_dir = ~/Exp5_Conference/owl2vec/

# use or not use the projected ontology
# default: no
ontology_projection = yes

# reasoning for extract axioms
# axiom_reasoner = hermit
# axiom_reasoner = elk
axiom_reasoner = none

# walker and walk_depth must be set
# random walk or random walk with Weisfeiler-Lehman (wl) subtree kernel
walker = random
# walker = wl
walk_depth = 4

# use URI/Literal/Mixture document (yes or no)
# they can be over witten by the command line parameters
URI_Doc = yes
Lit_Doc = yes
Mix_Doc = no

# the type for generating the mixture document (all or random)
# works when Mix_Doc is set to yes
# Mix_Type = all
Mix_Type = random

[MODEL]

# the directory of the pre-trained word2vec model
# default: without pre-training
# comment it if no pre-training is needed
# pre_train_model = ~/w2v_model/enwiki_model/word2vec_gensim
# Available from https://tinyurl.com/word2vec-model

# the size for embedding
# it is set to the size of the pre-trained model if it is adopted
embed_size = 100

# number of iterations in training the word2vec model
# i.e., epochs in gensim 4.x.x
iteration = 10

# for training the word2vec model without pre-training
window = 5
min_count = 1
negative = 25
seed = 42

# epoch for fine-tuning the pre-trained model
epoch = 100