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{ | |
"sentences":[{ | |
"words":["Gonzo","married","Camilla","."], | |
"startOffsets":[0,6,14,21], | |
"endOffsets":[5,13,21,22], | |
"tags":["NNP","VBD","NNP","."], | |
"lemmas":["Gonzo","marry","Camilla","."], | |
"entities":["O","O","PERSON","O"], | |
"norms":["O","O","O","O"], | |
"chunks":["B-NP","B-VP","B-NP","O"], | |
"graphs":{ | |
"stanford-basic":{ | |
"edges":[{ | |
"source":1, | |
"destination":0, | |
"relation":"nsubj" | |
},{ | |
"source":1, | |
"destination":2, | |
"relation":"dobj" | |
},{ | |
"source":1, | |
"destination":3, | |
"relation":"punct" | |
}], | |
"roots":[1] | |
}, | |
"stanford-collapsed":{ | |
"edges":[{ | |
"source":1, | |
"destination":0, | |
"relation":"nsubj" | |
},{ | |
"source":1, | |
"destination":2, | |
"relation":"dobj" | |
},{ | |
"source":1, | |
"destination":3, | |
"relation":"punct" | |
}], | |
"roots":[1] | |
} | |
} | |
}] | |
} |
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import org.clulab.processors.fastnlp.FastNLPProcessor | |
import org.clulab.processors.Document | |
import org.clulab.struct.Interval | |
import org.clulab.odin._ | |
import org.clulab.odin.serialization.json.{JSONSerializer => OdinJSONSerializer, _} | |
import org.clulab.serialization.json._ | |
import java.io.File | |
/** Example demonstrating how to serialize/deserialize | |
* [[org.clulab.Document]] and [[org.clulab.odin.Mention]] to/from json | |
*/ | |
object JSONExample extends App { | |
val rules = | |
""" | |
|# NE rules | |
| | |
|- name: "ner-person" | |
| label: [Person, PossiblePerson, Entity] | |
| priority: 1 | |
| type: token | |
| pattern: | | |
| ([entity="PERSON"]+ | "Gonzo") | |
| | |
|# Events | |
| | |
|# optional location and date | |
|- name: "marry-syntax-1" | |
| label: [Marry] | |
| priority: 3 | |
| example: "He married Jane last June in Hawaii." | |
| type: dependency | |
| pattern: | | |
| trigger = [lemma="marry"] | |
| spouse: Entity+ = <xcomp? /^nsubj/ | dobj | |
""".stripMargin | |
val engine = ExtractorEngine(rules) | |
val proc = new FastNLPProcessor | |
val text = "Gonzo married Camilla." | |
val doc = proc.annotate(text) | |
val mentions = engine.extractFrom(doc) | |
// print the json string for the extracted mentions | |
println(mentions.json(pretty=true)) | |
// save the json to a file | |
mentions.saveJSON("mentions.json", pretty=true) | |
// deserialize the mentions json that was written in the last step | |
val mentions2 = OdinJSONSerializer.toMentions(new File("mentions.json")) | |
// demonstrate span equivalence to the original mentions | |
def m2triple(m: Mention):(Int, Int, Interval) = (m.document.equivalenceHash, m.sentence, m.tokenInterval) | |
mentions.map(m2triple) == mentions2.map(m2triple) | |
// documents can also be serialized/deserialized | |
doc.saveJSON("document.json", pretty=true) | |
val d2 = JSONSerializer.toDocument(new File("document.json")) | |
// demonstrate equivalence of annotations | |
doc.equivalenceHash == d2.equivalenceHash | |
} |
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{ | |
"documents":{ | |
"-1180172198":{ | |
"sentences":[{ | |
"words":["Gonzo","married","Camilla","."], | |
"startOffsets":[0,6,14,21], | |
"endOffsets":[5,13,21,22], | |
"tags":["NNP","VBD","NNP","."], | |
"lemmas":["Gonzo","marry","Camilla","."], | |
"entities":["O","O","PERSON","O"], | |
"norms":["O","O","O","O"], | |
"chunks":["B-NP","B-VP","B-NP","O"], | |
"graphs":{ | |
"stanford-basic":{ | |
"edges":[{ | |
"source":1, | |
"destination":0, | |
"relation":"nsubj" | |
},{ | |
"source":1, | |
"destination":2, | |
"relation":"dobj" | |
},{ | |
"source":1, | |
"destination":3, | |
"relation":"punct" | |
}], | |
"roots":[1] | |
}, | |
"stanford-collapsed":{ | |
"edges":[{ | |
"source":1, | |
"destination":0, | |
"relation":"nsubj" | |
},{ | |
"source":1, | |
"destination":2, | |
"relation":"dobj" | |
},{ | |
"source":1, | |
"destination":3, | |
"relation":"punct" | |
}], | |
"roots":[1] | |
} | |
} | |
}] | |
} | |
}, | |
"mentions":[{ | |
"type":"TextBoundMention", | |
"id":"T:648733472", | |
"text":"Camilla", | |
"labels":["Person","PossiblePerson","Entity"], | |
"tokenInterval":{ | |
"start":2, | |
"end":3 | |
}, | |
"characterStartOffset":14, | |
"characterEndOffset":21, | |
"sentence":0, | |
"document":"-1180172198", | |
"keep":true, | |
"foundBy":"ner-person" | |
},{ | |
"type":"EventMention", | |
"id":"E:1351231268", | |
"text":"Gonzo married Camilla", | |
"labels":["Marry"], | |
"trigger":{ | |
"type":"TextBoundMention", | |
"id":"T:1627076846", | |
"text":"married", | |
"labels":["Marry"], | |
"tokenInterval":{ | |
"start":1, | |
"end":2 | |
}, | |
"characterStartOffset":6, | |
"characterEndOffset":13, | |
"sentence":0, | |
"document":"-1180172198", | |
"keep":true, | |
"foundBy":"marry-syntax-1" | |
}, | |
"arguments":{ | |
"spouse":[{ | |
"type":"TextBoundMention", | |
"id":"T:1618195043", | |
"text":"Gonzo", | |
"labels":["Person","PossiblePerson","Entity"], | |
"tokenInterval":{ | |
"start":0, | |
"end":1 | |
}, | |
"characterStartOffset":0, | |
"characterEndOffset":5, | |
"sentence":0, | |
"document":"-1180172198", | |
"keep":true, | |
"foundBy":"ner-person" | |
},{ | |
"type":"TextBoundMention", | |
"id":"T:648733472", | |
"text":"Camilla", | |
"labels":["Person","PossiblePerson","Entity"], | |
"tokenInterval":{ | |
"start":2, | |
"end":3 | |
}, | |
"characterStartOffset":14, | |
"characterEndOffset":21, | |
"sentence":0, | |
"document":"-1180172198", | |
"keep":true, | |
"foundBy":"ner-person" | |
}] | |
}, | |
"paths":{ | |
"spouse":{ | |
"T:1618195043":[{ | |
"source":1, | |
"destination":0, | |
"relation":"nsubj" | |
}], | |
"T:648733472":[{ | |
"source":1, | |
"destination":2, | |
"relation":"dobj" | |
}] | |
} | |
}, | |
"tokenInterval":{ | |
"start":0, | |
"end":3 | |
}, | |
"characterStartOffset":0, | |
"characterEndOffset":21, | |
"sentence":0, | |
"document":"-1180172198", | |
"keep":true, | |
"foundBy":"marry-syntax-1" | |
},{ | |
"type":"TextBoundMention", | |
"id":"T:1618195043", | |
"text":"Gonzo", | |
"labels":["Person","PossiblePerson","Entity"], | |
"tokenInterval":{ | |
"start":0, | |
"end":1 | |
}, | |
"characterStartOffset":0, | |
"characterEndOffset":5, | |
"sentence":0, | |
"document":"-1180172198", | |
"keep":true, | |
"foundBy":"ner-person" | |
}] | |
} |
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