metadata
tags:
- spacy
- token-classification
language:
- en
license: mit
model-index:
- name: en_docusco_spacy
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7897948078
- name: NER Recall
type: recall
value: 0.7904761222
- name: NER F Score
type: f_score
value: 0.7901353181
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9422182346
English pipeline for part-of-speech and rhetorical tagging.
| Feature | Description |
|---|---|
| Name | en_docusco_spacy |
| Version | 1.2 |
| spaCy | >=3.5.0,<3.6.0 |
| Default Pipeline | tok2vec, tagger, ner |
| Components | tok2vec, tagger, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | MIT |
| Author | David Brown |
Label Scheme
View label scheme (308 labels for 2 components)
| Component | Labels |
|---|---|
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, NN231, NN232, NN233, NN31, NN32, NN33, NNA, NNB, NNL1, NNL2, NNO, NNO2, NNT1, NNT131, 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 |
ner |
AcademicTerms, AcademicWritingMoves, Character, Citation, CitationAuthority, CitationHedged, ConfidenceHedged, ConfidenceHigh, ConfidenceLow, Contingent, Description, Facilitate, FirstPerson, ForceStressed, Future, InformationChange, InformationChangeNegative, InformationChangePositive, InformationExposition, InformationPlace, InformationReportVerbs, InformationStates, InformationTopics, Inquiry, Interactive, MetadiscourseCohesive, MetadiscourseInteractive, Narrative, Negative, Positive, PublicTerms, Reasoning, Responsibility, Strategic, Uncertainty, Updates |
Accuracy
| Type | Score |
|---|---|
TAG_ACC |
94.22 |
ENTS_F |
79.01 |
ENTS_P |
78.98 |
ENTS_R |
79.05 |
TOK2VEC_LOSS |
18044765.75 |
TAGGER_LOSS |
2400921.93 |
NER_LOSS |
5935848.19 |