NP chunk extractor¶
| Path | pimlico.modules.spacy.extract_nps |
| Executable | yes |
Extract NP chunks
Performs the full spaCy pipeline including tokenization, sentence segmentation, POS tagging and parsing and outputs documents containing only a list of the noun phrase chunks that were found by the parser.
This functionality is provided very conveniently by spaCy’s Doc.noun_chunks
after parsing, so this is a light wrapper around spaCy.
The output is presented as a tokenized document. Each sentence in the document represents a single NP.
Inputs¶
| Name | Type(s) |
|---|---|
| text | grouped_corpus <RawTextDocumentType> |
Outputs¶
| Name | Type(s) |
|---|---|
| nps | grouped_corpus <TokenizedDocumentType> |
Options¶
| Name | Description | Type |
|---|---|---|
| model | spaCy model to use. This may be a name of a standard spaCy model or a path to the location of a trained model on disk, if on_disk=T. If it’s not a path, the spaCy download command will be run before execution | string |
| on_disk | Load the specified model from a location on disk (the model parameter gives the path) | bool |
Example config¶
This is an example of how this module can be used in a pipeline config file.
[my_spacy_extract_nps_module]
type=pimlico.modules.spacy.extract_nps
input_text=module_a.some_output
This example usage includes more options.
[my_spacy_extract_nps_module]
type=pimlico.modules.spacy.extract_nps
input_text=module_a.some_output
model=en_core_web_sm
on_disk=T
Test pipelines¶
This module is used by the following test pipelines. They are a further source of examples of the module’s usage.