run_naturalli

#!/bin/bash
exec scala -cp qry.jar:test/src/test_client.jar:src/naturalli_client.jar "$0" "$@"
!#
import Qry._

//
// Train the classifiers
//
//submit(classifier
//  -('features, "LUCENE_SCORE KEYWORD_OVERLAP")
//  -('model, "logs/monarch_both.ser.gz")
//)


using("tmp/monarch/")

//
// Run the models (train; all corpora)
//
submit(multchoice
  -("naturalli.incache", "logs/monarch_train.cache")
  -("naturalli.outcache", "logs/out.cache")
  -('data, "etc/aristo/eval_monarch_train_allcorpora.tab")
  -('model, "logs/model.both.ser.gz")
  -('features, "LUCENE_SCORE KEYWORD_OVERLAP")
  -("naturalli.weight",  "1.0")
  -("classifier.weight", "0.00")
  -("lucene.weight",  "0.042")
  -("log.file",  touch("redwood.log"))
)



def range(start:Double, end:Double, increment:Double = 1.0):ArgumentValue = {
  if (start + increment > end) {
    ArgumentValue(start.toString)
  } else {
    range(start + increment, end, increment) & start
  }
}

// A utility for creating a Java instance
def program(c:String):Task = ("java"
  -('cp, cp)
	-"Xmx5G"
	-"Xss32m"
  -"XX:MaxPermSize=256M"
  -"Dwordnet.database.dir=etc/WordNet-3.1/dict"
	-'server
  -'ea
	->c
).toList

// The classifier trainer
def classifier = 
  (program("edu.stanford.nlp.naturalli.entail.ClassifierTrainer")
    -('classifier, "NATURALLI")
    -('naturalli_search, "src/naturalli_search")
    -("train.file", "etc/aristo/turk_90_trainset.tab")
    -("train.cache.do", "true")
    -("train.debugdoc", "/dev/null")
    -("log.file", "logs/classifier.log")
   )

// The multiple choice evaluator
def multchoice = 
  (program("edu.stanford.nlp.naturalli.entail.MultipleChoiceSolver")
    -("log.file", "logs/solver.log")
    )


def cp:String = {
  val JAVANLP = List(
    System.getenv("JAVANLP_HOME") + "/projects/core/classes",
    System.getenv("JAVANLP_HOME") + "/projects/core/lib/joda-time.jar",
    System.getenv("JAVANLP_HOME") + "/projects/core/lib/jollyday-0.4.7.jar",
    System.getenv("JAVANLP_HOME") + "/projects/core/lib/protobuf.jar",
    System.getenv("JAVANLP_HOME") + "/projects/core/lib/slf4j-api.jar",
    System.getenv("JAVANLP_HOME") + "/projects/core/lib/slf4j-simple.jar",
    System.getenv("JAVANLP_HOME") + "/projects/more/classes",
    System.getenv("JAVANLP_HOME") + "/projects/research/classes",
    System.getenv("JAVANLP_HOME") + "/projects/research/lib/reverb.jar",
    System.getenv("JAVANLP_HOME") + "/projects/research/lib/postgresql.jar",
    "/home/gabor/staging/stanford-corenlp-models-current.jar"
  ).mkString(":")
  val CUSTOM = List(
      "lib/gson-2.3.1.jar",
      "lib/jaws.jar",
      "lib/berkeleyaligner.jar"
    ).mkString(":")
  List("src/naturalli_preprocess.jar", JAVANLP, CUSTOM).mkString(":")
}