Description
Onto is a Named Entity Recognition (or NER) model trained on OntoNotes 5.0. It can extract up to 18 entities such as people, places, organizations, money, time, date, etc.
This model uses the pretrained electra_small_uncased embeddgings model from the BertEmbeddings annotator as an input.
Predicted Entities
CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART.
Live Demo Open in Colab Download Copy S3 URI
How to use
...
embeddings = BertEmbeddings.pretrained("electra_small_uncased", "en") \
.setInputCols("sentence", "token") \
.setOutputCol("embeddings")
ner_onto = NerDLModel.pretrained("onto_electra_small_uncased", "en") \
.setInputCols(["document", "token", "embeddings"]) \
.setOutputCol("ner")
...
nlp_pipeline = Pipeline(stages=[document_assembler, sentence_detector, tokenizer, embeddings, ner_onto, ner_converter])
pipeline_model = nlp_pipeline.fit(spark.createDataFrame([['']]).toDF('text'))
result = pipeline_model.transform(spark.createDataFrame([["William Henry Gates III (born October 28, 1955) is an American business magnate, software developer, investor, and philanthropist. He is best known as the co-founder of Microsoft Corporation. During his career at Microsoft, Gates held the positions of chairman, chief executive officer (CEO), president and chief software architect, while also being the largest individual shareholder until May 2014. He is one of the best-known entrepreneurs and pioneers of the microcomputer revolution of the 1970s and 1980s. Born and raised in Seattle, Washington, Gates co-founded Microsoft with childhood friend Paul Allen in 1975, in Albuquerque, New Mexico; it went on to become the world's largest personal computer software company. Gates led the company as chairman and CEO until stepping down as CEO in January 2000, but he remained chairman and became chief software architect. During the late 1990s, Gates had been criticized for his business tactics, which have been considered anti-competitive. This opinion has been upheld by numerous court rulings. In June 2006, Gates announced that he would be transitioning to a part-time role at Microsoft and full-time work at the Bill & Melinda Gates Foundation, the private charitable foundation that he and his wife, Melinda Gates, established in 2000. He gradually transferred his duties to Ray Ozzie and Craig Mundie. He stepped down as chairman of Microsoft in February 2014 and assumed a new post as technology adviser to support the newly appointed CEO Satya Nadella."]], ["text"]))
...
val embeddings = BertEmbeddings.pretrained("electra_small_uncased", "en")
.setInputCols(Array("sentence", "token"))
.setOutputCol("embeddings")
val ner_onto = NerDLModel.pretrained("onto_electra_small_uncased", "en")
.setInputCols(Array("document", "token", "embeddings"))
.setOutputCol("ner")
...
val pipeline = new Pipeline().setStages(Array(document_assembler, sentence_detector, tokenizer, embeddings, ner_onto, ner_converter))
val data = Seq("William Henry Gates III (born October 28, 1955) is an American business magnate, software developer, investor, and philanthropist. He is best known as the co-founder of Microsoft Corporation. During his career at Microsoft, Gates held the positions of chairman, chief executive officer (CEO), president and chief software architect, while also being the largest individual shareholder until May 2014. He is one of the best-known entrepreneurs and pioneers of the microcomputer revolution of the 1970s and 1980s. Born and raised in Seattle, Washington, Gates co-founded Microsoft with childhood friend Paul Allen in 1975, in Albuquerque, New Mexico; it went on to become the world's largest personal computer software company. Gates led the company as chairman and CEO until stepping down as CEO in January 2000, but he remained chairman and became chief software architect. During the late 1990s, Gates had been criticized for his business tactics, which have been considered anti-competitive. This opinion has been upheld by numerous court rulings. In June 2006, Gates announced that he would be transitioning to a part-time role at Microsoft and full-time work at the Bill & Melinda Gates Foundation, the private charitable foundation that he and his wife, Melinda Gates, established in 2000. He gradually transferred his duties to Ray Ozzie and Craig Mundie. He stepped down as chairman of Microsoft in February 2014 and assumed a new post as technology adviser to support the newly appointed CEO Satya Nadella.").toDF("text")
val result = pipeline.fit(data).transform(data)
import nlu
text = ["""William Henry Gates III (born October 28, 1955) is an American business magnate, software developer, investor, and philanthropist. He is best known as the co-founder of Microsoft Corporation. During his career at Microsoft, Gates held the positions of chairman, chief executive officer (CEO), president and chief software architect, while also being the largest individual shareholder until May 2014. He is one of the best-known entrepreneurs and pioneers of the microcomputer revolution of the 1970s and 1980s. Born and raised in Seattle, Washington, Gates co-founded Microsoft with childhood friend Paul Allen in 1975, in Albuquerque, New Mexico; it went on to become the world's largest personal computer software company. Gates led the company as chairman and CEO until stepping down as CEO in January 2000, but he remained chairman and became chief software architect. During the late 1990s, Gates had been criticized for his business tactics, which have been considered anti-competitive. This opinion has been upheld by numerous court rulings. In June 2006, Gates announced that he would be transitioning to a part-time role at Microsoft and full-time work at the Bill & Melinda Gates Foundation, the private charitable foundation that he and his wife, Melinda Gates, established in 2000. He gradually transferred his duties to Ray Ozzie and Craig Mundie. He stepped down as chairman of Microsoft in February 2014 and assumed a new post as technology adviser to support the newly appointed CEO Satya Nadella."""]
ner_df = nlu.load('en.ner.onto.electra.uncased_small').predict(text, output_level='chunk')
ner_df[["entities", "entities_class"]]
Results
+-----------------------+---------+
|chunk |ner_label|
+-----------------------+---------+
|William Henry Gates III|PERSON |
|October 28, 1955 |DATE |
|American |NORP |
|Microsoft Corporation |ORG |
|Microsoft |ORG |
|Gates |PERSON |
|May 2014 |DATE |
|1970s |DATE |
|1980s |DATE |
|Seattle |GPE |
|Washington |GPE |
|Gates |PERSON |
|Microsoft |ORG |
|Paul Allen |PERSON |
|1975 |DATE |
|Albuquerque |GPE |
|New Mexico |GPE |
|Gates |PERSON |
|January 2000 |DATE |
|the late 1990s |DATE |
+-----------------------+---------+
Model Information
| Model Name: | onto_electra_small_uncased |
| Type: | ner |
| Compatibility: | Spark NLP 2.7.0+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [sentence, token, embeddings] |
| Output Labels: | [ner] |
| Language: | en |
Data Source
The model is trained based on data from OntoNotes 5.0
Benchmarking
Micro-average:
prec: 0.87234557, rec: 0.8584134, f1: 0.8653234
CoNLL Eval:
processed 152728 tokens with 11257 phrases; found: 11149 phrases; correct: 9598.
accuracy: 97.22%; 9598 11257 11149 precision: 86.09%; recall: 85.26%; FB1: 85.67
CARDINAL: 789 935 948 precision: 83.23%; recall: 84.39%; FB1: 83.80 948
DATE: 1400 1602 1659 precision: 84.39%; recall: 87.39%; FB1: 85.86 1659
EVENT: 31 63 50 precision: 62.00%; recall: 49.21%; FB1: 54.87 50
FAC: 72 135 111 precision: 64.86%; recall: 53.33%; FB1: 58.54 111
GPE: 2086 2240 2197 precision: 94.95%; recall: 93.12%; FB1: 94.03 2197
LANGUAGE: 8 22 10 precision: 80.00%; recall: 36.36%; FB1: 50.00 10
LAW: 21 40 34 precision: 61.76%; recall: 52.50%; FB1: 56.76 34
LOC: 114 179 201 precision: 56.72%; recall: 63.69%; FB1: 60.00 201
MONEY: 282 314 321 precision: 87.85%; recall: 89.81%; FB1: 88.82 321
NORP: 786 841 848 precision: 92.69%; recall: 93.46%; FB1: 93.07 848
ORDINAL: 180 195 227 precision: 79.30%; recall: 92.31%; FB1: 85.31 227
ORG: 1359 1795 1616 precision: 84.10%; recall: 75.71%; FB1: 79.68 1616
PERCENT: 312 349 349 precision: 89.40%; recall: 89.40%; FB1: 89.40 349
PERSON: 1852 1988 2059 precision: 89.95%; recall: 93.16%; FB1: 91.52 2059
PRODUCT: 32 76 69 precision: 46.38%; recall: 42.11%; FB1: 44.14 69
QUANTITY: 86 105 105 precision: 81.90%; recall: 81.90%; FB1: 81.90 105
TIME: 124 212 207 precision: 59.90%; recall: 58.49%; FB1: 59.19 207
WORK_OF_ART: 64 166 138 precision: 46.38%; recall: 38.55%; FB1: 42.11 138