Update spaCy pipeline
Browse files- .gitattributes +1 -0
- README.md +19 -19
- config.cfg +16 -13
- en_docusco_spacy_cd_trf-any-py3-none-any.whl +3 -0
- meta.json +110 -90
- ner/model +0 -0
- ner/moves +1 -1
- tagger/cfg +24 -3
- tagger/model +0 -0
- tokenizer +0 -0
- transformer/model +2 -2
- vocab/strings.json +0 -0
.gitattributes
CHANGED
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
35 |
en_docusco_spacy_fc_trf-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
|
36 |
transformer/model filter=lfs diff=lfs merge=lfs -text
|
|
|
|
34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
35 |
en_docusco_spacy_fc_trf-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
|
36 |
transformer/model filter=lfs diff=lfs merge=lfs -text
|
37 |
+
en_docusco_spacy_cd_trf-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
|
README.md
CHANGED
@@ -6,7 +6,7 @@ language:
|
|
6 |
- en
|
7 |
license: mit
|
8 |
model-index:
|
9 |
-
- name:
|
10 |
results:
|
11 |
- task:
|
12 |
name: NER
|
@@ -14,44 +14,44 @@ model-index:
|
|
14 |
metrics:
|
15 |
- name: NER Precision
|
16 |
type: precision
|
17 |
-
value: 0.
|
18 |
- name: NER Recall
|
19 |
type: recall
|
20 |
-
value: 0.
|
21 |
- name: NER F Score
|
22 |
type: f_score
|
23 |
-
value: 0.
|
24 |
- task:
|
25 |
name: TAG
|
26 |
type: token-classification
|
27 |
metrics:
|
28 |
- name: TAG (XPOS) Accuracy
|
29 |
type: accuracy
|
30 |
-
value: 0.
|
31 |
---
|
32 |
-
English pipeline for part-of-speech and rhetorical tagging.
|
33 |
|
34 |
| Feature | Description |
|
35 |
| --- | --- |
|
36 |
-
| **Name** | `
|
37 |
-
| **Version** | `1.
|
38 |
-
| **spaCy** | `>=3.4
|
39 |
| **Default Pipeline** | `transformer`, `tagger`, `ner` |
|
40 |
| **Components** | `transformer`, `tagger`, `ner` |
|
41 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
42 |
| **Sources** | n/a |
|
43 |
| **License** | `MIT` |
|
44 |
-
| **Author** | [David Brown](https://
|
45 |
|
46 |
### Label Scheme
|
47 |
|
48 |
<details>
|
49 |
|
50 |
-
<summary>View label scheme (
|
51 |
|
52 |
| Component | Labels |
|
53 |
| --- | --- |
|
54 |
-
| **`tagger`** | `APPGE`, `AT`, `AT1`, `BCL21`, `BCL22`, `CC`, `CCB`, `CS`, `CS21`, `CS22`, `CS31`, `CS32`, `CS33`, `CS41`, `CS42`, `CS43`, `CS44`, `CSA`, `CSN`, `CST`, `CSW`, `CSW31`, `CSW32`, `CSW33`, `DA`, `DA1`, `DA2`, `DAR`, `DAT`, `DB`, `DB2`, `DD`, `DD1`, `DD2`, `DDQ`, `DDQGE`, `DDQV`, `DDQV31`, `DDQV32`, `DDQV33`, `EX`, `FO`, `FU`, `FW`, `GE`, `IF`, `II`, `II21`, `II22`, `II31`, `II32`, `II33`, `II41`, `II42`, `II43`, `II44`, `IO`, `IW`, `JJ`, `JJ21`, `JJ22`, `JJ31`, `JJ32`, `JJ33`, `JJR`, `JJT`, `JK`, `MC`, `MC1`, `MC2`, `MC221`, `MC222`, `MCMC`, `MD`, `MF`, `ND1`, `NN`, `NN1`, `NN121`, `NN122`, `NN131`, `NN132`, `NN133`, `NN141`, `NN142`, `NN143`, `NN144`, `NN2`, `NN21`, `NN22`, `NN221`, `NN222`, `
|
55 |
| **`ner`** | `ActorsAbstractions`, `ActorsFirstPerson`, `ActorsPeople`, `ActorsPublicEntities`, `CitationAuthority`, `CitationControversy`, `CitationNeutral`, `ConfidenceHedged`, `ConfidenceHigh`, `OrganizationNarrative`, `OrganizationReasoning`, `PlanningFuture`, `PlanningStrategy`, `SentimentNegative`, `SentimentPositive`, `SignpostingAcademicWritingMoves`, `SignpostingMetadiscourse`, `StanceEmphatic`, `StanceModerated` |
|
56 |
|
57 |
</details>
|
@@ -60,10 +60,10 @@ English pipeline for part-of-speech and rhetorical tagging.
|
|
60 |
|
61 |
| Type | Score |
|
62 |
| --- | --- |
|
63 |
-
| `TAG_ACC` | 98.
|
64 |
-
| `ENTS_F` |
|
65 |
-
| `ENTS_P` |
|
66 |
-
| `ENTS_R` |
|
67 |
-
| `TRANSFORMER_LOSS` |
|
68 |
-
| `TAGGER_LOSS` |
|
69 |
-
| `NER_LOSS` |
|
|
|
6 |
- en
|
7 |
license: mit
|
8 |
model-index:
|
9 |
+
- name: en_docusco_spacy_cd_trf
|
10 |
results:
|
11 |
- task:
|
12 |
name: NER
|
|
|
14 |
metrics:
|
15 |
- name: NER Precision
|
16 |
type: precision
|
17 |
+
value: 0.8975978922
|
18 |
- name: NER Recall
|
19 |
type: recall
|
20 |
+
value: 0.8996163997
|
21 |
- name: NER F Score
|
22 |
type: f_score
|
23 |
+
value: 0.8986060124
|
24 |
- task:
|
25 |
name: TAG
|
26 |
type: token-classification
|
27 |
metrics:
|
28 |
- name: TAG (XPOS) Accuracy
|
29 |
type: accuracy
|
30 |
+
value: 0.9860324848
|
31 |
---
|
32 |
+
English pipeline for part-of-speech and rhetorical tagging using a smaller 'common dictionary'.
|
33 |
|
34 |
| Feature | Description |
|
35 |
| --- | --- |
|
36 |
+
| **Name** | `en_docusco_spacy_cd_trf` |
|
37 |
+
| **Version** | `1.3` |
|
38 |
+
| **spaCy** | `>=3.7.4,<3.8.0` |
|
39 |
| **Default Pipeline** | `transformer`, `tagger`, `ner` |
|
40 |
| **Components** | `transformer`, `tagger`, `ner` |
|
41 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
42 |
| **Sources** | n/a |
|
43 |
| **License** | `MIT` |
|
44 |
+
| **Author** | [David Brown](https://docuscope.github.io) |
|
45 |
|
46 |
### Label Scheme
|
47 |
|
48 |
<details>
|
49 |
|
50 |
+
<summary>View label scheme (289 labels for 2 components)</summary>
|
51 |
|
52 |
| Component | Labels |
|
53 |
| --- | --- |
|
54 |
+
| **`tagger`** | `APPGE`, `AT`, `AT1`, `BCL21`, `BCL22`, `CC`, `CCB`, `CS`, `CS21`, `CS22`, `CS31`, `CS32`, `CS33`, `CS41`, `CS42`, `CS43`, `CS44`, `CSA`, `CSN`, `CST`, `CSW`, `CSW31`, `CSW32`, `CSW33`, `DA`, `DA1`, `DA2`, `DAR`, `DAT`, `DB`, `DB2`, `DD`, `DD1`, `DD2`, `DDQ`, `DDQGE`, `DDQGE31`, `DDQGE32`, `DDQGE33`, `DDQV`, `DDQV31`, `DDQV32`, `DDQV33`, `EX`, `FO`, `FU`, `FW`, `GE`, `IF`, `II`, `II21`, `II22`, `II31`, `II32`, `II33`, `II41`, `II42`, `II43`, `II44`, `IO`, `IW`, `JJ`, `JJ21`, `JJ22`, `JJ31`, `JJ32`, `JJ33`, `JJ41`, `JJ42`, `JJ43`, `JJ44`, `JJR`, `JJT`, `JK`, `MC`, `MC1`, `MC2`, `MC221`, `MC222`, `MCMC`, `MD`, `MF`, `ND1`, `NN`, `NN1`, `NN121`, `NN122`, `NN131`, `NN132`, `NN133`, `NN141`, `NN142`, `NN143`, `NN144`, `NN2`, `NN21`, `NN22`, `NN221`, `NN222`, `NN31`, `NN32`, `NN33`, `NNA`, `NNB`, `NNL1`, `NNL2`, `NNO`, `NNO2`, `NNT1`, `NNT131`, `NNT132`, `NNT133`, `NNT2`, `NNU`, `NNU1`, `NNU2`, `NNU21`, `NNU22`, `NNU221`, `NNU222`, `NP`, `NP1`, `NP2`, `NPD1`, `NPD2`, `NPM1`, `NPM2`, `PN`, `PN1`, `PN121`, `PN122`, `PN21`, `PN22`, `PNQO`, `PNQS`, `PNQS31`, `PNQS32`, `PNQS33`, `PNQV`, `PNQV31`, `PNQV32`, `PNQV33`, `PNX1`, `PPGE`, `PPH1`, `PPHO1`, `PPHO2`, `PPHS1`, `PPHS2`, `PPIO1`, `PPIO2`, `PPIS1`, `PPIS2`, `PPX1`, `PPX121`, `PPX122`, `PPX2`, `PPX221`, `PPX222`, `PPY`, `RA`, `RA21`, `RA22`, `REX`, `REX21`, `REX22`, `REX41`, `REX42`, `REX43`, `REX44`, `RG`, `RG21`, `RG22`, `RG41`, `RG42`, `RG43`, `RG44`, `RGQ`, `RGQV`, `RGQV31`, `RGQV32`, `RGQV33`, `RGR`, `RGT`, `RL`, `RL21`, `RL22`, `RL31`, `RL32`, `RL33`, `RP`, `RPK`, `RR`, `RR21`, `RR22`, `RR31`, `RR32`, `RR33`, `RR41`, `RR42`, `RR43`, `RR44`, `RR51`, `RR52`, `RR53`, `RR54`, `RR55`, `RRQ`, `RRQV`, `RRQV31`, `RRQV32`, `RRQV33`, `RRR`, `RRT`, `RT`, `RT21`, `RT22`, `RT31`, `RT32`, `RT33`, `RT41`, `RT42`, `RT43`, `RT44`, `TO`, `UH`, `UH21`, `UH22`, `UH31`, `UH32`, `UH33`, `VB0`, `VBDR`, `VBDZ`, `VBG`, `VBI`, `VBM`, `VBN`, `VBR`, `VBZ`, `VD0`, `VDD`, `VDG`, `VDI`, `VDN`, `VDZ`, `VH0`, `VHD`, `VHG`, `VHI`, `VHN`, `VHZ`, `VM`, `VM21`, `VM22`, `VMK`, `VV0`, `VVD`, `VVG`, `VVGK`, `VVI`, `VVN`, `VVNK`, `VVZ`, `XX`, `Y`, `ZZ1`, `ZZ2`, `ZZ221`, `ZZ222` |
|
55 |
| **`ner`** | `ActorsAbstractions`, `ActorsFirstPerson`, `ActorsPeople`, `ActorsPublicEntities`, `CitationAuthority`, `CitationControversy`, `CitationNeutral`, `ConfidenceHedged`, `ConfidenceHigh`, `OrganizationNarrative`, `OrganizationReasoning`, `PlanningFuture`, `PlanningStrategy`, `SentimentNegative`, `SentimentPositive`, `SignpostingAcademicWritingMoves`, `SignpostingMetadiscourse`, `StanceEmphatic`, `StanceModerated` |
|
56 |
|
57 |
</details>
|
|
|
60 |
|
61 |
| Type | Score |
|
62 |
| --- | --- |
|
63 |
+
| `TAG_ACC` | 98.60 |
|
64 |
+
| `ENTS_F` | 89.86 |
|
65 |
+
| `ENTS_P` | 89.76 |
|
66 |
+
| `ENTS_R` | 89.96 |
|
67 |
+
| `TRANSFORMER_LOSS` | 4671131.21 |
|
68 |
+
| `TAGGER_LOSS` | 1405830.04 |
|
69 |
+
| `NER_LOSS` | 4168254.47 |
|
config.cfg
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
[paths]
|
2 |
-
train = "
|
3 |
-
dev = "
|
4 |
vectors = null
|
5 |
init_tok2vec = null
|
6 |
|
@@ -11,12 +11,13 @@ seed = 0
|
|
11 |
[nlp]
|
12 |
lang = "en"
|
13 |
pipeline = ["transformer","tagger","ner"]
|
14 |
-
batch_size =
|
15 |
disabled = []
|
16 |
before_creation = null
|
17 |
after_creation = null
|
18 |
after_pipeline_creation = null
|
19 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
|
|
20 |
|
21 |
[components]
|
22 |
|
@@ -44,6 +45,7 @@ upstream = "*"
|
|
44 |
|
45 |
[components.tagger]
|
46 |
factory = "tagger"
|
|
|
47 |
neg_prefix = "!"
|
48 |
overwrite = false
|
49 |
scorer = {"@scorers":"spacy.tagger_scorer.v1"}
|
@@ -106,13 +108,14 @@ train_corpus = "corpora.train"
|
|
106 |
seed = ${system.seed}
|
107 |
gpu_allocator = ${system.gpu_allocator}
|
108 |
dropout = 0.1
|
109 |
-
patience =
|
110 |
-
max_epochs =
|
111 |
-
max_steps =
|
112 |
-
eval_frequency =
|
113 |
frozen_components = []
|
114 |
annotating_components = []
|
115 |
before_to_disk = null
|
|
|
116 |
|
117 |
[training.batcher]
|
118 |
@batchers = "spacy.batch_by_padded.v1"
|
@@ -137,13 +140,13 @@ eps = 0.00000001
|
|
137 |
|
138 |
[training.optimizer.learn_rate]
|
139 |
@schedules = "warmup_linear.v1"
|
140 |
-
warmup_steps =
|
141 |
-
total_steps =
|
142 |
initial_rate = 0.00005
|
143 |
|
144 |
[training.score_weights]
|
145 |
-
tag_acc = 0.
|
146 |
-
ents_f = 0.
|
147 |
ents_p = 0.0
|
148 |
ents_r = 0.0
|
149 |
ents_per_type = null
|
@@ -164,14 +167,14 @@ after_init = null
|
|
164 |
|
165 |
[initialize.components.ner.labels]
|
166 |
@readers = "spacy.read_labels.v1"
|
167 |
-
path = "
|
168 |
require = false
|
169 |
|
170 |
[initialize.components.tagger]
|
171 |
|
172 |
[initialize.components.tagger.labels]
|
173 |
@readers = "spacy.read_labels.v1"
|
174 |
-
path = "
|
175 |
require = false
|
176 |
|
177 |
[initialize.tokenizer]
|
|
|
1 |
[paths]
|
2 |
+
train = "spacy_train_05.spacy"
|
3 |
+
dev = "spacy_dev_05.spacy"
|
4 |
vectors = null
|
5 |
init_tok2vec = null
|
6 |
|
|
|
11 |
[nlp]
|
12 |
lang = "en"
|
13 |
pipeline = ["transformer","tagger","ner"]
|
14 |
+
batch_size = 32
|
15 |
disabled = []
|
16 |
before_creation = null
|
17 |
after_creation = null
|
18 |
after_pipeline_creation = null
|
19 |
tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
20 |
+
vectors = {"@vectors":"spacy.Vectors.v1"}
|
21 |
|
22 |
[components]
|
23 |
|
|
|
45 |
|
46 |
[components.tagger]
|
47 |
factory = "tagger"
|
48 |
+
label_smoothing = 0.0
|
49 |
neg_prefix = "!"
|
50 |
overwrite = false
|
51 |
scorer = {"@scorers":"spacy.tagger_scorer.v1"}
|
|
|
108 |
seed = ${system.seed}
|
109 |
gpu_allocator = ${system.gpu_allocator}
|
110 |
dropout = 0.1
|
111 |
+
patience = 20000
|
112 |
+
max_epochs = -1
|
113 |
+
max_steps = 30000
|
114 |
+
eval_frequency = 500
|
115 |
frozen_components = []
|
116 |
annotating_components = []
|
117 |
before_to_disk = null
|
118 |
+
before_update = null
|
119 |
|
120 |
[training.batcher]
|
121 |
@batchers = "spacy.batch_by_padded.v1"
|
|
|
140 |
|
141 |
[training.optimizer.learn_rate]
|
142 |
@schedules = "warmup_linear.v1"
|
143 |
+
warmup_steps = 500
|
144 |
+
total_steps = 25000
|
145 |
initial_rate = 0.00005
|
146 |
|
147 |
[training.score_weights]
|
148 |
+
tag_acc = 0.4
|
149 |
+
ents_f = 0.6
|
150 |
ents_p = 0.0
|
151 |
ents_r = 0.0
|
152 |
ents_per_type = null
|
|
|
167 |
|
168 |
[initialize.components.ner.labels]
|
169 |
@readers = "spacy.read_labels.v1"
|
170 |
+
path = "ner.json"
|
171 |
require = false
|
172 |
|
173 |
[initialize.components.tagger]
|
174 |
|
175 |
[initialize.components.tagger.labels]
|
176 |
@readers = "spacy.read_labels.v1"
|
177 |
+
path = "tagger.json"
|
178 |
require = false
|
179 |
|
180 |
[initialize.tokenizer]
|
en_docusco_spacy_cd_trf-any-py3-none-any.whl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:86ef06b7e24e61928327ae520998138f37ccf11b878ef1da7f848d83aabad23f
|
3 |
+
size 466599656
|
meta.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
"lang":"en",
|
3 |
-
"name":"
|
4 |
-
"version":"1.
|
5 |
-
"description":"English pipeline for part-of-speech and rhetorical tagging.",
|
6 |
"author":"David Brown",
|
7 |
"email":"[email protected]",
|
8 |
-
"url":"https://
|
9 |
"license":"MIT",
|
10 |
-
"spacy_version":">=3.4
|
11 |
-
"spacy_git_version":"
|
12 |
"vectors":{
|
13 |
"width":0,
|
14 |
"vectors":0,
|
@@ -56,6 +56,9 @@
|
|
56 |
"DD2",
|
57 |
"DDQ",
|
58 |
"DDQGE",
|
|
|
|
|
|
|
59 |
"DDQV",
|
60 |
"DDQV31",
|
61 |
"DDQV32",
|
@@ -84,6 +87,10 @@
|
|
84 |
"JJ31",
|
85 |
"JJ32",
|
86 |
"JJ33",
|
|
|
|
|
|
|
|
|
87 |
"JJR",
|
88 |
"JJT",
|
89 |
"JK",
|
@@ -112,10 +119,8 @@
|
|
112 |
"NN22",
|
113 |
"NN221",
|
114 |
"NN222",
|
115 |
-
"NN231",
|
116 |
-
"NN232",
|
117 |
-
"NN233",
|
118 |
"NN31",
|
|
|
119 |
"NN33",
|
120 |
"NNA",
|
121 |
"NNB",
|
@@ -124,12 +129,17 @@
|
|
124 |
"NNO",
|
125 |
"NNO2",
|
126 |
"NNT1",
|
|
|
|
|
|
|
127 |
"NNT2",
|
128 |
"NNU",
|
129 |
"NNU1",
|
130 |
"NNU2",
|
131 |
"NNU21",
|
132 |
"NNU22",
|
|
|
|
|
133 |
"NP",
|
134 |
"NP1",
|
135 |
"NP2",
|
@@ -149,6 +159,9 @@
|
|
149 |
"PNQS32",
|
150 |
"PNQS33",
|
151 |
"PNQV",
|
|
|
|
|
|
|
152 |
"PNX1",
|
153 |
"PPGE",
|
154 |
"PPH1",
|
@@ -180,6 +193,10 @@
|
|
180 |
"RG",
|
181 |
"RG21",
|
182 |
"RG22",
|
|
|
|
|
|
|
|
|
183 |
"RGQ",
|
184 |
"RGQV",
|
185 |
"RGQV31",
|
@@ -190,6 +207,9 @@
|
|
190 |
"RL",
|
191 |
"RL21",
|
192 |
"RL22",
|
|
|
|
|
|
|
193 |
"RP",
|
194 |
"RPK",
|
195 |
"RR",
|
@@ -307,112 +327,112 @@
|
|
307 |
|
308 |
],
|
309 |
"performance":{
|
310 |
-
"tag_acc":0.
|
311 |
-
"ents_f":0.
|
312 |
-
"ents_p":0.
|
313 |
-
"ents_r":0.
|
314 |
"ents_per_type":{
|
315 |
"ActorsFirstPerson":{
|
316 |
-
"p":0.
|
317 |
-
"r":0.
|
318 |
-
"f":0.
|
319 |
},
|
320 |
-
"
|
321 |
-
"p":0.
|
322 |
-
"r":0.
|
323 |
-
"f":0.
|
324 |
},
|
325 |
-
"
|
326 |
-
"p":0.
|
327 |
-
"r":0.
|
328 |
-
"f":0.
|
|
|
|
|
|
|
|
|
|
|
329 |
},
|
330 |
"ActorsPeople":{
|
331 |
-
"p":0.
|
332 |
-
"r":0.
|
333 |
-
"f":0.
|
334 |
},
|
335 |
"SignpostingMetadiscourse":{
|
336 |
-
"p":0.
|
337 |
-
"r":0.
|
338 |
-
"f":0.
|
|
|
|
|
|
|
|
|
|
|
339 |
},
|
340 |
"OrganizationReasoning":{
|
341 |
-
"p":0.
|
342 |
-
"r":0.
|
343 |
-
"f":0.
|
344 |
},
|
345 |
-
"
|
346 |
-
"p":0.
|
347 |
-
"r":0.
|
348 |
-
"f":0.
|
349 |
},
|
350 |
-
"
|
351 |
-
"p":0.
|
352 |
-
"r":0.
|
353 |
-
"f":0.
|
354 |
},
|
355 |
-
"
|
356 |
-
"p":0.
|
357 |
-
"r":0.
|
358 |
-
"f":0.
|
359 |
},
|
360 |
-
"
|
361 |
-
"p":0.
|
362 |
-
"r":0.
|
363 |
-
"f":0.
|
364 |
},
|
365 |
-
"
|
366 |
-
"p":0.
|
367 |
-
"r":0.
|
368 |
-
"f":0.
|
369 |
},
|
370 |
"ConfidenceHigh":{
|
371 |
-
"p":0.
|
372 |
-
"r":0.
|
373 |
-
"f":0.
|
374 |
-
},
|
375 |
-
"PlanningFuture":{
|
376 |
-
"p":0.8828828829,
|
377 |
-
"r":0.8994576554,
|
378 |
-
"f":0.8910932011
|
379 |
},
|
380 |
-
"
|
381 |
-
"p":0.
|
382 |
-
"r":0.
|
383 |
-
"f":0.
|
384 |
-
},
|
385 |
-
"PlanningStrategy":{
|
386 |
-
"p":0.8513819665,
|
387 |
-
"r":0.8205240175,
|
388 |
-
"f":0.8356682233
|
389 |
},
|
390 |
-
"
|
391 |
-
"p":0.
|
392 |
-
"r":0.
|
393 |
-
"f":0.
|
394 |
},
|
395 |
-
"
|
396 |
-
"p":0.
|
397 |
-
"r":0.
|
398 |
-
"f":0.
|
399 |
},
|
400 |
-
"
|
401 |
-
"p":0.
|
402 |
-
"r":0.
|
403 |
-
"f":0.
|
404 |
},
|
405 |
-
"
|
406 |
-
"p":0.
|
407 |
-
"r":0.
|
408 |
-
"f":0.
|
409 |
}
|
410 |
},
|
411 |
-
"transformer_loss":
|
412 |
-
"tagger_loss":
|
413 |
-
"ner_loss":
|
414 |
},
|
415 |
"requirements":[
|
416 |
-
"spacy-transformers>=1.
|
417 |
]
|
418 |
}
|
|
|
1 |
{
|
2 |
"lang":"en",
|
3 |
+
"name":"docusco_spacy_cd_trf",
|
4 |
+
"version":"1.3",
|
5 |
+
"description":"English pipeline for part-of-speech and rhetorical tagging using a smaller 'common dictionary'.",
|
6 |
"author":"David Brown",
|
7 |
"email":"[email protected]",
|
8 |
+
"url":"https://docuscope.github.io",
|
9 |
"license":"MIT",
|
10 |
+
"spacy_version":">=3.7.4,<3.8.0",
|
11 |
+
"spacy_git_version":"bff8725f4",
|
12 |
"vectors":{
|
13 |
"width":0,
|
14 |
"vectors":0,
|
|
|
56 |
"DD2",
|
57 |
"DDQ",
|
58 |
"DDQGE",
|
59 |
+
"DDQGE31",
|
60 |
+
"DDQGE32",
|
61 |
+
"DDQGE33",
|
62 |
"DDQV",
|
63 |
"DDQV31",
|
64 |
"DDQV32",
|
|
|
87 |
"JJ31",
|
88 |
"JJ32",
|
89 |
"JJ33",
|
90 |
+
"JJ41",
|
91 |
+
"JJ42",
|
92 |
+
"JJ43",
|
93 |
+
"JJ44",
|
94 |
"JJR",
|
95 |
"JJT",
|
96 |
"JK",
|
|
|
119 |
"NN22",
|
120 |
"NN221",
|
121 |
"NN222",
|
|
|
|
|
|
|
122 |
"NN31",
|
123 |
+
"NN32",
|
124 |
"NN33",
|
125 |
"NNA",
|
126 |
"NNB",
|
|
|
129 |
"NNO",
|
130 |
"NNO2",
|
131 |
"NNT1",
|
132 |
+
"NNT131",
|
133 |
+
"NNT132",
|
134 |
+
"NNT133",
|
135 |
"NNT2",
|
136 |
"NNU",
|
137 |
"NNU1",
|
138 |
"NNU2",
|
139 |
"NNU21",
|
140 |
"NNU22",
|
141 |
+
"NNU221",
|
142 |
+
"NNU222",
|
143 |
"NP",
|
144 |
"NP1",
|
145 |
"NP2",
|
|
|
159 |
"PNQS32",
|
160 |
"PNQS33",
|
161 |
"PNQV",
|
162 |
+
"PNQV31",
|
163 |
+
"PNQV32",
|
164 |
+
"PNQV33",
|
165 |
"PNX1",
|
166 |
"PPGE",
|
167 |
"PPH1",
|
|
|
193 |
"RG",
|
194 |
"RG21",
|
195 |
"RG22",
|
196 |
+
"RG41",
|
197 |
+
"RG42",
|
198 |
+
"RG43",
|
199 |
+
"RG44",
|
200 |
"RGQ",
|
201 |
"RGQV",
|
202 |
"RGQV31",
|
|
|
207 |
"RL",
|
208 |
"RL21",
|
209 |
"RL22",
|
210 |
+
"RL31",
|
211 |
+
"RL32",
|
212 |
+
"RL33",
|
213 |
"RP",
|
214 |
"RPK",
|
215 |
"RR",
|
|
|
327 |
|
328 |
],
|
329 |
"performance":{
|
330 |
+
"tag_acc":0.9860324848,
|
331 |
+
"ents_f":0.8986060124,
|
332 |
+
"ents_p":0.8975978922,
|
333 |
+
"ents_r":0.8996163997,
|
334 |
"ents_per_type":{
|
335 |
"ActorsFirstPerson":{
|
336 |
+
"p":0.9297243488,
|
337 |
+
"r":0.9421626555,
|
338 |
+
"f":0.9359021772
|
339 |
},
|
340 |
+
"OrganizationNarrative":{
|
341 |
+
"p":0.8982249764,
|
342 |
+
"r":0.9052289888,
|
343 |
+
"f":0.901713382
|
344 |
},
|
345 |
+
"ConfidenceHedged":{
|
346 |
+
"p":0.9133998382,
|
347 |
+
"r":0.925173412,
|
348 |
+
"f":0.9192489282
|
349 |
+
},
|
350 |
+
"StanceEmphatic":{
|
351 |
+
"p":0.9163952226,
|
352 |
+
"r":0.9306501792,
|
353 |
+
"f":0.9234676931
|
354 |
},
|
355 |
"ActorsPeople":{
|
356 |
+
"p":0.9048275066,
|
357 |
+
"r":0.9085233815,
|
358 |
+
"f":0.9066716777
|
359 |
},
|
360 |
"SignpostingMetadiscourse":{
|
361 |
+
"p":0.9521945378,
|
362 |
+
"r":0.9343999277,
|
363 |
+
"f":0.9432133122
|
364 |
+
},
|
365 |
+
"PlanningStrategy":{
|
366 |
+
"p":0.867487328,
|
367 |
+
"r":0.8729657518,
|
368 |
+
"f":0.8702179177
|
369 |
},
|
370 |
"OrganizationReasoning":{
|
371 |
+
"p":0.9162113643,
|
372 |
+
"r":0.913893106,
|
373 |
+
"f":0.9150507669
|
374 |
},
|
375 |
+
"ActorsAbstractions":{
|
376 |
+
"p":0.8978776116,
|
377 |
+
"r":0.9052445851,
|
378 |
+
"f":0.9015460488
|
379 |
},
|
380 |
+
"SentimentPositive":{
|
381 |
+
"p":0.8603518268,
|
382 |
+
"r":0.8566270255,
|
383 |
+
"f":0.8584853859
|
384 |
},
|
385 |
+
"SentimentNegative":{
|
386 |
+
"p":0.8577821301,
|
387 |
+
"r":0.8418267418,
|
388 |
+
"f":0.8497295439
|
389 |
},
|
390 |
+
"CitationAuthority":{
|
391 |
+
"p":0.8555627846,
|
392 |
+
"r":0.8453873353,
|
393 |
+
"f":0.8504446241
|
394 |
},
|
395 |
+
"StanceModerated":{
|
396 |
+
"p":0.8848971874,
|
397 |
+
"r":0.9246727587,
|
398 |
+
"f":0.9043478261
|
399 |
},
|
400 |
"ConfidenceHigh":{
|
401 |
+
"p":0.8963930348,
|
402 |
+
"r":0.9093432591,
|
403 |
+
"f":0.9028217093
|
|
|
|
|
|
|
|
|
|
|
404 |
},
|
405 |
+
"CitationControversy":{
|
406 |
+
"p":0.8772563177,
|
407 |
+
"r":0.9109653233,
|
408 |
+
"f":0.8937931034
|
|
|
|
|
|
|
|
|
|
|
409 |
},
|
410 |
+
"CitationNeutral":{
|
411 |
+
"p":0.9121713201,
|
412 |
+
"r":0.9254675468,
|
413 |
+
"f":0.9187713311
|
414 |
},
|
415 |
+
"PlanningFuture":{
|
416 |
+
"p":0.891873065,
|
417 |
+
"r":0.915613826,
|
418 |
+
"f":0.9035875319
|
419 |
},
|
420 |
+
"ActorsPublicEntities":{
|
421 |
+
"p":0.9129542262,
|
422 |
+
"r":0.9113132257,
|
423 |
+
"f":0.9121329879
|
424 |
},
|
425 |
+
"SignpostingAcademicWritingMoves":{
|
426 |
+
"p":0.7986216171,
|
427 |
+
"r":0.8133881185,
|
428 |
+
"f":0.8059372349
|
429 |
}
|
430 |
},
|
431 |
+
"transformer_loss":46711.3121389837,
|
432 |
+
"tagger_loss":14058.3003581261,
|
433 |
+
"ner_loss":41682.5447270232
|
434 |
},
|
435 |
"requirements":[
|
436 |
+
"spacy-transformers>=1.3.5,<1.4.0"
|
437 |
]
|
438 |
}
|
ner/model
CHANGED
Binary files a/ner/model and b/ner/model differ
|
|
ner/moves
CHANGED
@@ -1 +1 @@
|
|
1 |
-
��moves�
|
|
|
1 |
+
��moves�l{"0":{},"1":{"ActorsPeople":1591194,"ActorsAbstractions":1564271,"SentimentNegative":1302786,"OrganizationNarrative":871730,"SentimentPositive":863940,"SignpostingMetadiscourse":697430,"ActorsFirstPerson":650913,"OrganizationReasoning":427949,"StanceEmphatic":377909,"ActorsPublicEntities":354014,"ConfidenceHedged":320162,"ConfidenceHigh":296184,"PlanningFuture":224817,"PlanningStrategy":197087,"SignpostingAcademicWritingMoves":113408,"CitationNeutral":68527,"StanceModerated":60423,"CitationAuthority":56832,"CitationControversy":16582},"2":{"ActorsPeople":1591194,"ActorsAbstractions":1564271,"SentimentNegative":1302786,"OrganizationNarrative":871730,"SentimentPositive":863940,"SignpostingMetadiscourse":697430,"ActorsFirstPerson":650913,"OrganizationReasoning":427949,"StanceEmphatic":377909,"ActorsPublicEntities":354014,"ConfidenceHedged":320162,"ConfidenceHigh":296184,"PlanningFuture":224817,"PlanningStrategy":197087,"SignpostingAcademicWritingMoves":113408,"CitationNeutral":68527,"StanceModerated":60423,"CitationAuthority":56832,"CitationControversy":16582},"3":{"ActorsPeople":1591194,"ActorsAbstractions":1564271,"SentimentNegative":1302786,"OrganizationNarrative":871730,"SentimentPositive":863940,"SignpostingMetadiscourse":697430,"ActorsFirstPerson":650913,"OrganizationReasoning":427949,"StanceEmphatic":377909,"ActorsPublicEntities":354014,"ConfidenceHedged":320162,"ConfidenceHigh":296184,"PlanningFuture":224817,"PlanningStrategy":197087,"SignpostingAcademicWritingMoves":113408,"CitationNeutral":68527,"StanceModerated":60423,"CitationAuthority":56832,"CitationControversy":16582},"4":{"ActorsPeople":1591194,"ActorsAbstractions":1564271,"SentimentNegative":1302786,"OrganizationNarrative":871730,"SentimentPositive":863940,"SignpostingMetadiscourse":697430,"ActorsFirstPerson":650913,"OrganizationReasoning":427949,"StanceEmphatic":377909,"ActorsPublicEntities":354014,"ConfidenceHedged":320162,"ConfidenceHigh":296184,"PlanningFuture":224817,"PlanningStrategy":197087,"SignpostingAcademicWritingMoves":113408,"CitationNeutral":68527,"StanceModerated":60423,"CitationAuthority":56832,"CitationControversy":16582,"":1},"5":{"":1}}�cfg��neg_key�
|
tagger/cfg
CHANGED
@@ -1,4 +1,5 @@
|
|
1 |
{
|
|
|
2 |
"labels":[
|
3 |
"APPGE",
|
4 |
"AT",
|
@@ -36,6 +37,9 @@
|
|
36 |
"DD2",
|
37 |
"DDQ",
|
38 |
"DDQGE",
|
|
|
|
|
|
|
39 |
"DDQV",
|
40 |
"DDQV31",
|
41 |
"DDQV32",
|
@@ -64,6 +68,10 @@
|
|
64 |
"JJ31",
|
65 |
"JJ32",
|
66 |
"JJ33",
|
|
|
|
|
|
|
|
|
67 |
"JJR",
|
68 |
"JJT",
|
69 |
"JK",
|
@@ -92,10 +100,8 @@
|
|
92 |
"NN22",
|
93 |
"NN221",
|
94 |
"NN222",
|
95 |
-
"NN231",
|
96 |
-
"NN232",
|
97 |
-
"NN233",
|
98 |
"NN31",
|
|
|
99 |
"NN33",
|
100 |
"NNA",
|
101 |
"NNB",
|
@@ -104,12 +110,17 @@
|
|
104 |
"NNO",
|
105 |
"NNO2",
|
106 |
"NNT1",
|
|
|
|
|
|
|
107 |
"NNT2",
|
108 |
"NNU",
|
109 |
"NNU1",
|
110 |
"NNU2",
|
111 |
"NNU21",
|
112 |
"NNU22",
|
|
|
|
|
113 |
"NP",
|
114 |
"NP1",
|
115 |
"NP2",
|
@@ -129,6 +140,9 @@
|
|
129 |
"PNQS32",
|
130 |
"PNQS33",
|
131 |
"PNQV",
|
|
|
|
|
|
|
132 |
"PNX1",
|
133 |
"PPGE",
|
134 |
"PPH1",
|
@@ -160,6 +174,10 @@
|
|
160 |
"RG",
|
161 |
"RG21",
|
162 |
"RG22",
|
|
|
|
|
|
|
|
|
163 |
"RGQ",
|
164 |
"RGQV",
|
165 |
"RGQV31",
|
@@ -170,6 +188,9 @@
|
|
170 |
"RL",
|
171 |
"RL21",
|
172 |
"RL22",
|
|
|
|
|
|
|
173 |
"RP",
|
174 |
"RPK",
|
175 |
"RR",
|
|
|
1 |
{
|
2 |
+
"label_smoothing":0.0,
|
3 |
"labels":[
|
4 |
"APPGE",
|
5 |
"AT",
|
|
|
37 |
"DD2",
|
38 |
"DDQ",
|
39 |
"DDQGE",
|
40 |
+
"DDQGE31",
|
41 |
+
"DDQGE32",
|
42 |
+
"DDQGE33",
|
43 |
"DDQV",
|
44 |
"DDQV31",
|
45 |
"DDQV32",
|
|
|
68 |
"JJ31",
|
69 |
"JJ32",
|
70 |
"JJ33",
|
71 |
+
"JJ41",
|
72 |
+
"JJ42",
|
73 |
+
"JJ43",
|
74 |
+
"JJ44",
|
75 |
"JJR",
|
76 |
"JJT",
|
77 |
"JK",
|
|
|
100 |
"NN22",
|
101 |
"NN221",
|
102 |
"NN222",
|
|
|
|
|
|
|
103 |
"NN31",
|
104 |
+
"NN32",
|
105 |
"NN33",
|
106 |
"NNA",
|
107 |
"NNB",
|
|
|
110 |
"NNO",
|
111 |
"NNO2",
|
112 |
"NNT1",
|
113 |
+
"NNT131",
|
114 |
+
"NNT132",
|
115 |
+
"NNT133",
|
116 |
"NNT2",
|
117 |
"NNU",
|
118 |
"NNU1",
|
119 |
"NNU2",
|
120 |
"NNU21",
|
121 |
"NNU22",
|
122 |
+
"NNU221",
|
123 |
+
"NNU222",
|
124 |
"NP",
|
125 |
"NP1",
|
126 |
"NP2",
|
|
|
140 |
"PNQS32",
|
141 |
"PNQS33",
|
142 |
"PNQV",
|
143 |
+
"PNQV31",
|
144 |
+
"PNQV32",
|
145 |
+
"PNQV33",
|
146 |
"PNX1",
|
147 |
"PPGE",
|
148 |
"PPH1",
|
|
|
174 |
"RG",
|
175 |
"RG21",
|
176 |
"RG22",
|
177 |
+
"RG41",
|
178 |
+
"RG42",
|
179 |
+
"RG43",
|
180 |
+
"RG44",
|
181 |
"RGQ",
|
182 |
"RGQV",
|
183 |
"RGQV31",
|
|
|
188 |
"RL",
|
189 |
"RL21",
|
190 |
"RL22",
|
191 |
+
"RL31",
|
192 |
+
"RL32",
|
193 |
+
"RL33",
|
194 |
"RP",
|
195 |
"RPK",
|
196 |
"RR",
|
tagger/model
CHANGED
Binary files a/tagger/model and b/tagger/model differ
|
|
tokenizer
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
transformer/model
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fe6a244db75cb192f39add536b26df730b2a4d4eb7ea298436e2f907f54a6d91
|
3 |
+
size 502027402
|
vocab/strings.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|