juhoinkinen commited on
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Upload project(s) *-en with Annif

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gnd-all-bm-ensemble-en.cfg ADDED
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+ [gnd-all-bm-ensemble-en]
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+ name = GND-all BM ensemble English
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+ language = en
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+ backend = ensemble
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+ sources = gnd-all-mllm-en:0.1623,gnd-all-bonsai-en:0.8377
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+ vocab = gnd-all
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+
gnd-all-bmx-ensemble-en.cfg ADDED
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+ [gnd-all-bmx-ensemble-en]
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+ name = GND-all BMX ensemble English
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+ language = en
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+ backend = ensemble
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+ sources = gnd-all-mllm-en:0.1417,gnd-all-bonsai-en:0.5387,gnd-all-xtransformer-en:0.3196
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+ vocab = gnd-all
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+
gnd-all-bonsai-en.cfg ADDED
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+ [gnd-all-bonsai-en]
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+ name = GND-all Omikuji Bonsai English
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+ language = en
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+ backend = omikuji
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+ analyzer = snowball(english)
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+ vocab = gnd-all
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+ cluster_balanced = False
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+ cluster_k = 100
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+ max_depth = 3
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+ min_df = 5
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+ ngram = 2
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+
gnd-all-mllm-en.cfg ADDED
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+ [gnd-all-mllm-en]
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+ name = GND-all MLLM English
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+ language = en
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+ backend = mllm
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+ analyzer = simplemma(en)
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+ vocab = gnd-all
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+
gnd-all-nn_ensemble-en.cfg ADDED
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+ [gnd-all-nn_ensemble-en]
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+ name = GND-all NN ensemble English
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+ language = en
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+ backend = nn_ensemble
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+ sources = gnd-all-mllm-en:0.1623,gnd-all-bonsai-en:0.8377
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+ vocab = gnd-all
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+ nodes = 100
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+ dropout_rate = 0.2
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+ epochs = 10
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+
gnd-all-xtransformer-en.cfg ADDED
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+ [gnd-all-xtransformer-en]
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+ name = GND-all XTransformer English
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+ language = en
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+ backend = xtransformer
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+ analyzer = snowball(english)
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+ vocab = gnd-all
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+ batch_size = 16
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+ truncate_length = 256
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+ learning_rate = 0.0001
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+ num_train_epochs = 3
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+ max_leaf_size = 1600
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+ nr_splits = 256
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+ threshold = 0.015
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+ cn = 0.52
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+ cp = 5.33
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+ bootstrap_model = weighted-linear
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+ loss_function = weighted-squared-hinge
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+ max_active_matching_labels = 500
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+ negative_sampling = tfn+man
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+ warmup_steps = 200
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+ ensemble_method = concat-only
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+ post_processor = l3-hinge
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+ cost_sensitive_ranker = True
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+ rel_mode = induce
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+ rel_norm = l1
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+ neg_mining_chain = tfn
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+ model_shortcut = FacebookAI/xlm-roberta-base
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+
gnd-tib-core-bm-ensemble-en.cfg ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ [gnd-tib-core-bm-ensemble-en]
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+ name = GND-tib-core BM ensemble English
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+ language = en
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+ backend = ensemble
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+ sources = gnd-tib-core-mllm-en:0.1271,gnd-tib-core-bonsai-en:0.8729
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+ vocab = gnd-tib-core
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+
gnd-tib-core-bmx-ensemble-en.cfg ADDED
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+ [gnd-tib-core-bmx-ensemble-en]
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+ name = GND-tib-core BMX ensemble English
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+ language = en
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+ backend = ensemble
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+ sources = gnd-tib-core-mllm-en:0.1671,gnd-tib-core-bonsai-en:0.6197,gnd-tib-core-xtransformer-en:0.2132
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+ vocab = gnd-tib-core
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+
gnd-tib-core-bonsai-en.cfg ADDED
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+ [gnd-tib-core-bonsai-en]
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+ name = GND-tib-core Omikuji Bonsai English
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+ language = en
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+ backend = omikuji
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+ analyzer = snowball(english)
6
+ vocab = gnd-tib-core
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+ cluster_balanced = False
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+ cluster_k = 100
9
+ max_depth = 3
10
+ min_df = 2
11
+ ngram = 2
12
+
gnd-tib-core-mllm-en.cfg ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ [gnd-tib-core-mllm-en]
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+ name = GND-tib-core MLLM English
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+ language = en
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+ backend = mllm
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+ analyzer = snowball(english)
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+ vocab = gnd-tib-core
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+
gnd-tib-core-nn_ensemble-en.cfg ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ [gnd-tib-core-nn_ensemble-en]
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+ name = GND-tib-core NN ensemble English
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+ language = en
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+ backend = nn_ensemble
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+ sources = gnd-tib-core-mllm-en:0.1271,gnd-tib-core-bonsai-en:0.8729
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+ vocab = gnd-tib-core
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+ nodes = 100
8
+ dropout_rate = 0.2
9
+ epochs = 10
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+
gnd-tib-core-xtransformer-en.cfg ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [gnd-tib-core-xtransformer-en]
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+ name = GND-tib-core XTransformer English
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+ language = en
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+ backend = xtransformer
5
+ analyzer = snowball(english)
6
+ vocab = gnd-tib-core
7
+ batch_size = 16
8
+ truncate_length = 256
9
+ learning_rate = 0.0001
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+ num_train_epochs = 3
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+ max_leaf_size = 1600
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+ nr_splits = 256
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+ threshold = 0.015
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+ cn = 0.52
15
+ cp = 5.33
16
+ bootstrap_model = weighted-linear
17
+ loss_function = weighted-squared-hinge
18
+ max_active_matching_labels = 500
19
+ negative_sampling = tfn+man
20
+ warmup_steps = 200
21
+ ensemble_method = concat-only
22
+ post_processor = l3-hinge
23
+ cost_sensitive_ranker = True
24
+ rel_mode = induce
25
+ rel_norm = l1
26
+ neg_mining_chain = tfn
27
+ model_shortcut = FacebookAI/xlm-roberta-base
28
+
projects/gnd-all-bm-ensemble-en.zip ADDED
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projects/gnd-all-bmx-ensemble-en.zip ADDED
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projects/gnd-all-bonsai-en.zip ADDED
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projects/gnd-all-mllm-en.zip ADDED
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projects/gnd-all-nn_ensemble-en.zip ADDED
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projects/gnd-all-xtransformer-en.zip ADDED
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projects/gnd-tib-core-bm-ensemble-en.zip ADDED
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