Expand description
Structured natural-language analysis types and traits.
The trait is designed around multi-head cascade models (e.g.
dragonscale-ai/kniv-deberta-nlp-base-en-xsmall) that produce
token-level POS / NER / DEP tags, sentence segmentation, optional SRL
frames, and optional dialog-act classification in a single forward pass.
Structs§
- DepLink
- A dependency-parse arc attached to an
NlpToken. - NerEntity
- One merged named-entity span, a BIO-collapsed view of per-token NER tags.
- NlpLabel
Maps - The label vocabularies a model decodes against, one list per head.
- NlpRequest
- One NLP analysis request: a text plus the heads to populate.
- NlpResult
- Structured output of an NLP analysis call.
- NlpSentence
- One sentence in an
NlpResult. - NlpTasks
- Selects which NLP heads a caller wants populated.
- NlpToken
- One token in an
NlpResult. - Speech
Act - One sentence-level classification result.
- SrlFrame
- One semantic-role-labeling frame: a predicate and its argument spans.
- SrlRole
- One argument span of an
SrlFrame.
Traits§
- NlpModel
- A multi-head structured-NLP model.