Description
Typed Dependency parser, trained on the on the CONLL dataset.
Dependency parsing is the task of extracting a dependency parse of a sentence that represents its grammatical structure and defines the relationships between “head” words and words, which modify those heads.
Predicted Entities
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline('dependency_parse', lang = 'en')
annotations = pipeline.fullAnnotate("Dependencies represents relationships betweens words in a Sentence "")[0]
annotations.keys()
val pipeline = new PretrainedPipeline("dependency_parse", lang = "en")
val result = pipeline.fullAnnotate("Dependencies represents relationships betweens words in a Sentence")(0)
nlu.load("dep.typed").predict("Dependencies represents relationships betweens words in a Sentence")
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline('dependency_parse', lang = 'en')
annotations = pipeline.fullAnnotate("Dependencies represents relationships betweens words in a Sentence "")[0]
annotations.keys()
val pipeline = new PretrainedPipeline("dependency_parse", lang = "en")
val result = pipeline.fullAnnotate("Dependencies represents relationships betweens words in a Sentence")(0)
nlu.load("dep.typed").predict("Dependencies represents relationships betweens words in a Sentence")
Results
Results
+---------------------------------------------------------------------------------+--------------------------------------------------------+
|result |result |
+---------------------------------------------------------------------------------+--------------------------------------------------------+
|[ROOT, Dependencies, represents, words, relationships, Sentence, Sentence, words]|[root, parataxis, nsubj, amod, nsubj, case, nsubj, flat]|
+---------------------------------------------------------------------------------+--------------------------------------------------------+
{:.model-param}
Model Information
| Model Name: | dependency_parse |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 23.8 MB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- PerceptronModel
- DependencyParserModel
- TypedDependencyParserModel