Description
SentenceDetectorDL (SDDL) is based on a general-purpose neural network model for sentence boundary detection. The task of sentence boundary detection is to identify sentences within a text. Many natural language processing tasks take a sentence as an input unit, such as part-of-speech tagging, dependency parsing, named entity recognition or machine translation.
In this model, we treated the sentence boundary detection task as a classification problem based on a paper {Deep-EOS: General-Purpose Neural Networks for Sentence Boundary Detection (2020, Stefan Schweter, Sajawel Ahmed) using CNN architecture. We also modified the original implemenation a little bit to cover broken sentences and some impossible end of line chars.
We are releasing two pretrained SDDL models: english and multilanguage that are trained on SETimes corpus (Tyers and Alperen, 2010) and Europarl. Wong et al. (2014) datasets.
How to use
documenter = DocumentAssembler()\
.setInputCol("text")\
.setOutputCol("document")
sentencerDL = SentenceDetectorDLModel\
.pretrained("sentence_detector_dl", "en") \
.setInputCols(["document"]) \
.setOutputCol("sentences")
sd_model = LightPipeline(PipelineModel(stages=[documenter, sentencerDL]))
sd_model.fullAnnotate("""John loves Mary.Mary loves Peter. Peter loves Helen .Helen loves John; Total: four people involved.""")
val model = SentenceDetectorDLModel.pretrained("sentence_detector_dl", "en")
.setInputCols("document")
.setOutputCol("sentence")
Results
+---+----+----+------------------------------+
| 0 | 0 | 15 | John loves Mary. |
+---+----+----+------------------------------+
| 1 | 16 | 32 | Mary loves Peter |
+---+----+----+------------------------------+
| 2 | 33 | 51 | Peter loves Helen . |
+---+----+----+------------------------------+
| 3 | 52 | 68 | Helen loves John; |
+---+----+----+------------------------------+
| 4 | 71 | 98 | Total: four people involved. |
+---+----+----+------------------------------+
Model Information
| Name: | sentence_detector_dl |
| Type: | SentenceDetectorDLModel |
| Compatibility: | Spark NLP 2.6.2+ |
| License: | Open Sources |
| Edition: | Official |
| Input labels: | [document] |
| Output labels: | [sentence] |
| Language: | en |
Data Source
Please visit the repo for more information https://github.com/dbmdz/deep-eos