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Upload project(s) *-de with Annif

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  1. gnd-all-bm-ensemble-de.cfg +7 -0
  2. gnd-all-bmx-ensemble-de.cfg +7 -0
  3. gnd-all-bonsai-de.cfg +12 -0
  4. gnd-all-mllm-de.cfg +7 -0
  5. gnd-all-nn_ensemble-de.cfg +10 -0
  6. gnd-all-xtransformer-de.cfg +28 -0
  7. gnd-tib-core-bm-ensemble-de.cfg +7 -0
  8. gnd-tib-core-bmx-ensemble-de.cfg +7 -0
  9. gnd-tib-core-bonsai-de.cfg +12 -0
  10. gnd-tib-core-mllm-de.cfg +7 -0
  11. gnd-tib-core-nn_ensemble-de.cfg +10 -0
  12. gnd-tib-core-xtransformer-de.cfg +28 -0
  13. projects/gnd-all-bm-ensemble-de.zip +3 -0
  14. projects/gnd-all-bmx-ensemble-de.zip +3 -0
  15. projects/gnd-all-bonsai-de.zip +3 -0
  16. projects/gnd-all-mllm-de.zip +3 -0
  17. projects/gnd-all-nn_ensemble-de.zip +3 -0
  18. projects/gnd-all-xtransformer-de.zip +3 -0
  19. projects/gnd-tib-core-bm-ensemble-de.zip +3 -0
  20. projects/gnd-tib-core-bmx-ensemble-de.zip +3 -0
  21. projects/gnd-tib-core-bonsai-de.zip +3 -0
  22. projects/gnd-tib-core-mllm-de.zip +3 -0
  23. projects/gnd-tib-core-nn_ensemble-de.zip +3 -0
  24. projects/gnd-tib-core-xtransformer-de.zip +3 -0
gnd-all-bm-ensemble-de.cfg ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ [gnd-all-bm-ensemble-de]
2
+ name = GND-all BM ensemble German
3
+ language = de
4
+ backend = ensemble
5
+ sources = gnd-all-mllm-de:0.1930,gnd-all-bonsai-de:0.8070
6
+ vocab = gnd-all
7
+
gnd-all-bmx-ensemble-de.cfg ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ [gnd-all-bmx-ensemble-de]
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+ name = GND-all BMX ensemble German
3
+ language = de
4
+ backend = ensemble
5
+ sources = gnd-all-mllm-de:0.1964,gnd-all-bonsai-de:0.4713,gnd-all-xtransformer-de:0.3323
6
+ vocab = gnd-all
7
+
gnd-all-bonsai-de.cfg ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [gnd-all-bonsai-de]
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+ name = GND-all Omikuji Bonsai German
3
+ language = de
4
+ backend = omikuji
5
+ analyzer = snowball(german)
6
+ vocab = gnd-all
7
+ cluster_balanced = False
8
+ cluster_k = 100
9
+ max_depth = 3
10
+ min_df = 2
11
+ ngram = 2
12
+
gnd-all-mllm-de.cfg ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ [gnd-all-mllm-de]
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+ name = GND-all MLLM German
3
+ language = de
4
+ backend = mllm
5
+ analyzer = snowball(german)
6
+ vocab = gnd-all
7
+
gnd-all-nn_ensemble-de.cfg ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ [gnd-all-nn_ensemble-de]
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+ name = GND-all NN ensemble German
3
+ language = de
4
+ backend = nn_ensemble
5
+ sources = gnd-all-mllm-de:0.1930,gnd-all-bonsai-de:0.8070
6
+ vocab = gnd-all
7
+ nodes = 100
8
+ dropout_rate = 0.2
9
+ epochs = 10
10
+
gnd-all-xtransformer-de.cfg ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [gnd-all-xtransformer-de]
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+ name = GND-all XTransformer German
3
+ language = de
4
+ backend = xtransformer
5
+ analyzer = snowball(german)
6
+ vocab = gnd-all
7
+ batch_size = 16
8
+ truncate_length = 256
9
+ learning_rate = 0.0001
10
+ num_train_epochs = 3
11
+ max_leaf_size = 1600
12
+ nr_splits = 256
13
+ threshold = 0.015
14
+ 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
+
gnd-tib-core-bm-ensemble-de.cfg ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ [gnd-tib-core-bm-ensemble-de]
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+ name = GND-tib-core BM ensemble German
3
+ language = de
4
+ backend = ensemble
5
+ sources = gnd-tib-core-mllm-de:0.1568,gnd-tib-core-bonsai-de:0.8432
6
+ vocab = gnd-tib-core
7
+
gnd-tib-core-bmx-ensemble-de.cfg ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ [gnd-tib-core-bmx-ensemble-de]
2
+ name = GND-tib-core BMX ensemble German
3
+ language = de
4
+ backend = ensemble
5
+ sources = gnd-tib-core-mllm-de:0.1837,gnd-tib-core-bonsai-de:0.4891,gnd-tib-core-xtransformer-de:0.3272
6
+ vocab = gnd-tib-core
7
+
gnd-tib-core-bonsai-de.cfg ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [gnd-tib-core-bonsai-de]
2
+ name = GND-tib-core Omikuji Bonsai German
3
+ language = de
4
+ backend = omikuji
5
+ analyzer = snowball(german)
6
+ vocab = gnd-tib-core
7
+ cluster_balanced = False
8
+ cluster_k = 100
9
+ max_depth = 3
10
+ min_df = 2
11
+ ngram = 2
12
+
gnd-tib-core-mllm-de.cfg ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ [gnd-tib-core-mllm-de]
2
+ name = GND-tib-core MLLM German
3
+ language = de
4
+ backend = mllm
5
+ analyzer = snowball(german)
6
+ vocab = gnd-tib-core
7
+
gnd-tib-core-nn_ensemble-de.cfg ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ [gnd-tib-core-nn_ensemble-de]
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+ name = GND-tib-core NN ensemble German
3
+ language = de
4
+ backend = nn_ensemble
5
+ sources = gnd-tib-core-mllm-de:0.1568,gnd-tib-core-bonsai-de:0.8432
6
+ vocab = gnd-tib-core
7
+ nodes = 100
8
+ dropout_rate = 0.2
9
+ epochs = 10
10
+
gnd-tib-core-xtransformer-de.cfg ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [gnd-tib-core-xtransformer-de]
2
+ name = GND-tib-core XTransformer German
3
+ language = de
4
+ backend = xtransformer
5
+ analyzer = snowball(german)
6
+ vocab = gnd-tib-core
7
+ batch_size = 16
8
+ truncate_length = 256
9
+ learning_rate = 0.0001
10
+ num_train_epochs = 3
11
+ max_leaf_size = 1600
12
+ nr_splits = 256
13
+ threshold = 0.015
14
+ 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-de.zip ADDED
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projects/gnd-all-bmx-ensemble-de.zip ADDED
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projects/gnd-all-bonsai-de.zip ADDED
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projects/gnd-all-mllm-de.zip ADDED
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projects/gnd-all-nn_ensemble-de.zip ADDED
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projects/gnd-all-xtransformer-de.zip ADDED
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projects/gnd-tib-core-bm-ensemble-de.zip ADDED
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projects/gnd-tib-core-bmx-ensemble-de.zip ADDED
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projects/gnd-tib-core-bonsai-de.zip ADDED
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