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Output format: training-output to build supervised models #801

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@enoriega enoriega commented Sep 6, 2023

Summary

Added a new output format suitable to train classifiers using a python pipeline. It "flattens" activations and regulations and creates a json array with the tokens, spans, label and polarity for each event.

Example

[
  {
    "sentence_tokens" : [ "Notably", ",", "overexpressing", "MafB", "in", "human", "beta-cell", "lines", "(", "beta", "TC3", "cells", ")", "resulted", "in", "increased", "cell", "proliferation", "by", "upregulating", "important", "cell", "cycle", "regulators", ",", "like", "cyclin", "D2", "and", "cyclin", "B", "(", "28", ")", "." ],
    "event_indices" : [ 16, 17, 18, 19, 20, 21, 22, 23 ],
    "type" : "Positive_activation",
    "polarity" : true,
    "controller_indices" : [ 16, 17, 18 ],
    "controlled_indices" : [ 21, 22, 23 ],
    "trigger_indices" : [ 19, 20 ]
  }, {
    "sentence_tokens" : [ "In", "vivo", "glucose", "stimulated", "insulin", "secretion", "(", "GSIS", ")", "experiment", ".." ],
    "event_indices" : [ 2, 3, 4, 5, 6 ],
    "type" : "Positive_activation",
    "polarity" : true,
    "controller_indices" : [ 2, 3 ],
    "controlled_indices" : [ 4, 5, 6 ],
    "trigger_indices" : [ 3, 4 ]
  }
]

# Conflicts:
#	bioresources/src/main/resources/org/clulab/reach/kb/NER-Grounding-Override.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/BioProcess.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/CellLine.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/CellType.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/Cellular_component.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/Disease.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/Family.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/Gene_or_gene_product.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/Organ.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/Simple_chemical.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/Site.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/Species.tsv.gz
#	bioresources/src/main/resources/org/clulab/reach/kb/ner/TissueType.tsv.gz
…statistics events. Added support for significance and confidence intervals to the arizona output (and possibly to the CMU by extension)
@enoriega enoriega requested a review from kwalcock September 6, 2023 21:07
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@kwalcock kwalcock left a comment

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The crossScalaVersion does need to be changed for publication.

@kwalcock
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@enoriega, this is being built for both Scala 2.11 and 2.12. The earlier version does not like trailing/dangling commas like the ones in TrainingDataExporter, so it doesn't compile. One can use ++compile or ++2.11.12 and then compile to test.

@enoriega enoriega requested a review from kwalcock September 22, 2023 22:31
@kwalcock
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That TrainingDataExporter still needs a comma removed at line 76 in order to work on Scala 2.11.

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2 participants