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Makefile.uw
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process_gq:
python scripts/graphquestions/convert_to_graph_parser_format.py \
< data/GraphQuestions/freebase13/graphquestions.training.json data/freebase/mid_to_key.txt.gz \
> data/GraphQuestions/freebase13/graphquestions.training.mid.json
python scripts/graphquestions/convert_to_graph_parser_format.py \
< data/GraphQuestions/freebase13/graphquestions.testing.json data/freebase/mid_to_key.txt.gz \
> data/GraphQuestions/freebase13/graphquestions.testing.mid.json
annotate_entity_spans:
cat data/GraphQuestions/freebase13/graphquestions.training.mid.json \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
annotators tokenize,ssplit,pos,lemma \
ssplit.newlineIsSentenceBreak always \
languageCode en \
pos.model lib_data/ud-models-v1.3/en/pos-tagger/utb-caseless-en-bidirectional-glove-distsim-lower.tagger \
| java -cp bin:lib/* in.sivareddy.scripts.NounPhraseAnnotator en_ud \
> working/graphquestions.training.mid.json
cat data/GraphQuestions/freebase13/graphquestions.testing.mid.json \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
annotators tokenize,ssplit,pos,lemma \
ssplit.newlineIsSentenceBreak always \
languageCode en \
pos.model lib_data/ud-models-v1.3/en/pos-tagger/utb-caseless-en-bidirectional-glove-distsim-lower.tagger \
| java -cp bin:lib/* in.sivareddy.scripts.NounPhraseAnnotator en_ud \
> working/graphquestions.testing.mid.json
entity_annotate:
# Entity Annotations
cat working/graphquestions.training.mid.json \
| java -cp bin:lib/* in.sivareddy.graphparser.cli.RankMatchedEntitiesCli \
--useKG true \
--apiKey AIzaSyDj-4Sr5TmDuEA8UVOd_89PqK87GABeoFg \
--langCode en \
> working/graphquestions.training.mid.ranked.json
cat working/graphquestions.testing.mid.json \
| java -cp bin:lib/* in.sivareddy.graphparser.cli.RankMatchedEntitiesCli \
--useKG true \
--apiKey AIzaSyDj-4Sr5TmDuEA8UVOd_89PqK87GABeoFg \
--langCode en \
> working/graphquestions.testing.mid.ranked.json
evaluate_entity_annotation_upperbound:
cat working/graphquestions.training.mid.ranked.json \
| python scripts/entity-annotation/get_entity_patterns.py
train_entity_annotator:
mkdir -p data/entity-models
java -cp bin:lib/* in.sivareddy.graphparser.cli.RunTrainEntityScorer \
-nthreads 20 \
-iterations 100 \
-hasId false \
-trainFile working/graphquestions.training.mid.ranked.json \
-devFile working/graphquestions.testing.mid.ranked.json \
-saveToFile data/entity-models/graph-questions.ser
disambiguate_entities:
cat working/graphquestions.training.mid.ranked.json \
| java -cp bin:lib/* in.sivareddy.graphparser.cli.RunEntityDisambiguator \
-loadModelFromFile data/entity-models/graph-questions.ser \
-endpoint localhost \
-nthreads 20 \
-nbestEntities 10 \
-hasId false \
-schema data/freebase/schema/all_domains_schema.txt \
> working/graphquestions.training.mid.disambiguated.json
cat working/graphquestions.testing.mid.ranked.json \
| java -cp bin:lib/* in.sivareddy.graphparser.cli.RunEntityDisambiguator \
-loadModelFromFile data/entity-models/graph-questions.ser \
-endpoint localhost \
-nthreads 20 \
-nbestEntities 10 \
-hasId false \
-schema data/freebase/schema/all_domains_schema.txt \
> working/graphquestions.testing.mid.disambiguated.json
entity_dismabiguated_to_plain_forest:
cat working/graphquestions.training.mid.disambiguated.json \
| java -cp bin:lib/* in.sivareddy.graphparser.util.CreateGraphParserForestFromEntityDisambiguatedSentences \
preprocess.lowerCase true \
annotators tokenize,ssplit,pos,lemma \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
annotators tokenize,ssplit,pos \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
posTagKey UD \
pos.model lib_data/ud-models-v1.3/en/pos-tagger/utb-caseless-en-bidirectional-glove-distsim-lower.tagger \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
preprocess.addDateEntities true \
preprocess.mergeEntityWords true \
annotators tokenize,ssplit \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
posTagKey UD \
postprocess.correctPosTags true \
> working/graphquestions.training.plain.forest.json
cat working/graphquestions.testing.mid.disambiguated.json \
| java -cp bin:lib/* in.sivareddy.graphparser.util.CreateGraphParserForestFromEntityDisambiguatedSentences \
preprocess.lowerCase true \
annotators tokenize,ssplit,pos,lemma \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
annotators tokenize,ssplit,pos \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
posTagKey UD \
pos.model lib_data/ud-models-v1.3/en/pos-tagger/utb-caseless-en-bidirectional-glove-distsim-lower.tagger \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
preprocess.addDateEntities true \
preprocess.mergeEntityWords true \
annotators tokenize,ssplit \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
posTagKey UD \
postprocess.correctPosTags true \
> working/graphquestions.testing.plain.forest.json
gq_ccg_parse:
cat working/graphquestions.training.plain.forest.json \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
annotators tokenize,ssplit,pos \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
posTagKey UD \
preprocess.capitalizeUsingPosTags true \
preprocess.capitalizeFirstWord true \
ccgParser easyccg \
ccgParser.modelFolder lib_data/easyccg_model_questions \
ccgParser.parserArguments -s,-r,S[q],S[qem],S[wq] \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
annotators tokenize,ssplit,pos \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
ccgParser easyccg \
ccgParser.modelFolder lib_data/easyccg_model \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
annotators tokenize,ssplit,pos \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
posTagKey UD \
pos.model lib_data/ud-models-v1.3/en/pos-tagger/utb-caseless-en-bidirectional-glove-distsim-lower.tagger \
postprocess.correctPosTags true \
> working/graphquestions.training.easyccg.forest.json
cat working/graphquestions.testing.plain.forest.json \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
annotators tokenize,ssplit,pos \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
posTagKey UD \
preprocess.capitalizeUsingPosTags true \
preprocess.capitalizeFirstWord true \
ccgParser easyccg \
ccgParser.modelFolder lib_data/easyccg_model_questions \
ccgParser.parserArguments -s,-r,S[q],S[qem],S[wq] \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
annotators tokenize,ssplit,pos \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
ccgParser easyccg \
ccgParser.modelFolder lib_data/easyccg_model \
| java -cp bin:lib/* in.sivareddy.graphparser.util.NlpPipeline \
annotators tokenize,ssplit,pos \
tokenize.whitespace true \
ssplit.eolonly true \
languageCode en \
posTagKey UD \
pos.model lib_data/ud-models-v1.3/en/pos-tagger/utb-caseless-en-bidirectional-glove-distsim-lower.tagger \
postprocess.correctPosTags true \
> working/graphquestions.testing.easyccg.forest.json
gq_bow_supervised_without_merge_without_expand:
rm -rf ../working/gq_bow_supervised_without_merge_without_expand
mkdir -p ../working/gq_bow_supervised_without_merge_without_expand
java -Xms2048m -cp bin:lib/* in.sivareddy.graphparser.cli.RunGraphToQueryTrainingMain \
-pointWiseF1Threshold 0.2 \
-semanticParseKey bow_question_graph \
-schema data/freebase/schema/sempre2_schema_gp_format.txt \
-relationTypesFile lib_data/dummy.txt \
-lexicon lib_data/dummy.txt \
-domain "http://rdf.freebase.com" \
-typeKey "fb:type.object.type" \
-nthreads 20 \
-trainingSampleSize 2000 \
-iterations 10 \
-nBestTrainSyntacticParses 1 \
-nBestTestSyntacticParses 1 \
-nbestGraphs 100 \
-forestSize 10 \
-ngramLength 1 \
-useSchema true \
-useKB true \
-ngramGrelPartFlag true \
-groundFreeVariables false \
-groundEntityVariableEdges false \
-groundEntityEntityEdges false \
-useEmptyTypes false \
-ignoreTypes false \
-urelGrelFlag false \
-urelPartGrelPartFlag false \
-utypeGtypeFlag false \
-gtypeGrelFlag false \
-wordGrelPartFlag false \
-wordGrelFlag false \
-eventTypeGrelPartFlag false \
-argGrelPartFlag false \
-argGrelFlag false \
-stemMatchingFlag false \
-mediatorStemGrelPartMatchingFlag false \
-argumentStemMatchingFlag false \
-argumentStemGrelPartMatchingFlag false \
-graphIsConnectedFlag false \
-graphHasEdgeFlag true \
-countNodesFlag false \
-edgeNodeCountFlag false \
-duplicateEdgesFlag true \
-grelGrelFlag false \
-useLexiconWeightsRel false \
-useLexiconWeightsType false \
-validQueryFlag true \
-useGoldRelations false \
-evaluateOnlyTheFirstBest false \
-evaluateBeforeTraining false \
-entityScoreFlag true \
-entityWordOverlapFlag false \
-initialEdgeWeight -0.5 \
-initialTypeWeight -2.0 \
-initialWordWeight -0.05 \
-stemFeaturesWeight 0.05 \
-endpoint localhost \
-supervisedCorpus "working/graphquestions.training.plain.forest.json" \
-contentWordPosTags "NOUN;VERB;ADJ;ADP;ADV;PRON" \
-devFile working/graphquestions.testing.plain.forest.json \
-logFile ../working/gq_bow_supervised_without_merge_without_expand/all.log.txt \
> ../working/gq_bow_supervised_without_merge_without_expand/all.txt
gq_ccg_with_hyperexpand.32.stem:
rm -rf ../working/gq_ccg_with_hyperexpand.32.stem
mkdir -p ../working/gq_ccg_with_hyperexpand.32.stem
java -Xms2048m -cp bin:lib/* in.sivareddy.graphparser.cli.RunGraphToQueryTrainingMain \
-pointWiseF1Threshold 0.2 \
-semanticParseKey synPars \
-ccgLexiconQuestions lib_data/lexicon_specialCases_questions_vanilla.txt \
-schema data/freebase/schema/sempre2_schema_gp_format.txt \
-relationTypesFile lib_data/dummy.txt \
-mostFrequentTypesFile data/freebase/stats/freebase_most_frequent_types.txt \
-lexicon lib_data/dummy.txt \
-domain "http://rdf.freebase.com" \
-typeKey "fb:type.object.type" \
-nthreads 20 \
-trainingSampleSize 2000 \
-iterations 10 \
-nBestTrainSyntacticParses 1 \
-nBestTestSyntacticParses 1 \
-nbestGraphs 100 \
-forestSize 10 \
-ngramLength 1 \
-useSchema true \
-useKB true \
-addBagOfWordsGraph false \
-ngramGrelPartFlag true \
-groundFreeVariables false \
-groundEntityVariableEdges false \
-groundEntityEntityEdges false \
-useEmptyTypes false \
-ignoreTypes true \
-urelGrelFlag false \
-urelPartGrelPartFlag false \
-utypeGtypeFlag false \
-gtypeGrelFlag false \
-wordGrelPartFlag true \
-wordGrelFlag false \
-eventTypeGrelPartFlag false \
-argGrelPartFlag true \
-argGrelFlag false \
-questionTypeGrelPartFlag false \
-stemMatchingFlag true \
-mediatorStemGrelPartMatchingFlag true \
-argumentStemMatchingFlag true \
-argumentStemGrelPartMatchingFlag true \
-graphIsConnectedFlag false \
-graphHasEdgeFlag true \
-countNodesFlag false \
-edgeNodeCountFlag false \
-duplicateEdgesFlag true \
-grelGrelFlag true \
-useLexiconWeightsRel false \
-useLexiconWeightsType false \
-validQueryFlag true \
-useAnswerTypeQuestionWordFlag false \
-useGoldRelations false \
-allowMerging false \
-handleEventEventEdges false \
-useExpand false \
-useHyperExpand true \
-evaluateBeforeTraining false \
-entityScoreFlag true \
-entityWordOverlapFlag false \
-initialEdgeWeight -0.5 \
-initialTypeWeight -2.0 \
-initialWordWeight 0.0 \
-stemFeaturesWeight 0.05 \
-endpoint localhost \
-evaluateOnlyTheFirstBest false \
-supervisedCorpus "working/graphquestions.training.easyccg.forest.json" \
-contentWordPosTags "NOUN;VERB;ADJ;ADP;ADV;PRON" \
-devFile working/graphquestions.testing.easyccg.forest.json \
-logFile ../working/gq_ccg_with_hyperexpand.32.stem/all.log.txt \
> ../working/gq_ccg_with_hyperexpand.32.stem/all.txt