Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

java.lang.NumberFormatException: Bad number put into wordToNumber #547

Closed
dexception opened this issue Oct 16, 2017 · 1 comment
Closed

java.lang.NumberFormatException: Bad number put into wordToNumber #547

dexception opened this issue Oct 16, 2017 · 1 comment
Labels
fixed on dev

Comments

@dexception
Copy link

Same exceptions over and over again.

2017-10-15 15:36:02 WARN NumberNormalizer:81 - java.lang.NumberFormatException: Bad number put into wordToNumber. Word is: "2.7million", originally part of "2.7million", piece # 0
edu.stanford.nlp.ie.NumberNormalizer.wordToNumber(NumberNormalizer.java:294)
edu.stanford.nlp.ie.NumberNormalizer.findNumbers(NumberNormalizer.java:636)
edu.stanford.nlp.ie.NumberNormalizer.findAndMergeNumbers(NumberNormalizer.java:725)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:189)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:183)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:114)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:104)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.runSUTime(NumberSequenceClassifier.java:345)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithSUTime(NumberSequenceClassifier.java:143)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithGlobalInformation(NumberSequenceClassifier.java:106)
edu.stanford.nlp.ie.NERClassifierCombiner.recognizeNumberSequences(NERClassifierCombiner.java:369)
edu.stanford.nlp.ie.NERClassifierCombiner.classifyWithGlobalInformation(NERClassifierCombiner.java:312)
edu.stanford.nlp.ie.NERClassifierCombiner.classify(NERClassifierCombiner.java:299)
edu.stanford.nlp.ie.AbstractSequenceClassifier.classifyToCharacterOffsets(AbstractSequenceClassifier.java:618)

2017-10-15 15:38:22 WARN NumberNormalizer:81 - java.lang.NumberFormatException: Bad number put into wordToNumber. Word is: "2.5million", originally part of "2.5million", piece # 0
edu.stanford.nlp.ie.NumberNormalizer.wordToNumber(NumberNormalizer.java:294)
edu.stanford.nlp.ie.NumberNormalizer.findNumbers(NumberNormalizer.java:636)
edu.stanford.nlp.ie.NumberNormalizer.findAndMergeNumbers(NumberNormalizer.java:725)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:189)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:183)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:114)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:104)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.runSUTime(NumberSequenceClassifier.java:345)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithSUTime(NumberSequenceClassifier.java:143)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithGlobalInformation(NumberSequenceClassifier.java:106)
edu.stanford.nlp.ie.NERClassifierCombiner.recognizeNumberSequences(NERClassifierCombiner.java:369)
edu.stanford.nlp.ie.NERClassifierCombiner.classifyWithGlobalInformation(NERClassifierCombiner.java:312)
edu.stanford.nlp.ie.NERClassifierCombiner.classify(NERClassifierCombiner.java:299)
edu.stanford.nlp.ie.AbstractSequenceClassifier.classifyToCharacterOffsets(AbstractSequenceClassifier.java:618)

2017-10-15 15:42:44 WARN NumberNormalizer:81 - java.lang.NumberFormatException: Bad number put into wordToNumber. Word is: "3.5million", originally part of "3.5million", piece # 0
edu.stanford.nlp.ie.NumberNormalizer.wordToNumber(NumberNormalizer.java:294)
edu.stanford.nlp.ie.NumberNormalizer.findNumbers(NumberNormalizer.java:636)
edu.stanford.nlp.ie.NumberNormalizer.findAndMergeNumbers(NumberNormalizer.java:725)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:189)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:183)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:114)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:104)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.runSUTime(NumberSequenceClassifier.java:345)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithSUTime(NumberSequenceClassifier.java:143)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithGlobalInformation(NumberSequenceClassifier.java:106)
edu.stanford.nlp.ie.NERClassifierCombiner.recognizeNumberSequences(NERClassifierCombiner.java:369)
edu.stanford.nlp.ie.NERClassifierCombiner.classifyWithGlobalInformation(NERClassifierCombiner.java:312)
edu.stanford.nlp.ie.NERClassifierCombiner.classify(NERClassifierCombiner.java:299)
edu.stanford.nlp.ie.AbstractSequenceClassifier.classifyToCharacterOffsets(AbstractSequenceClassifier.java:618)

2017-10-15 16:32:36 WARN NumberNormalizer:81 - java.lang.NumberFormatException: Bad number put into wordToNumber. Word is: "1783.9million", originally part of "1,783.9million", piece # 0
edu.stanford.nlp.ie.NumberNormalizer.wordToNumber(NumberNormalizer.java:294)
edu.stanford.nlp.ie.NumberNormalizer.findNumbers(NumberNormalizer.java:636)
edu.stanford.nlp.ie.NumberNormalizer.findAndMergeNumbers(NumberNormalizer.java:725)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:189)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:183)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:114)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:104)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.runSUTime(NumberSequenceClassifier.java:345)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithSUTime(NumberSequenceClassifier.java:143)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithGlobalInformation(NumberSequenceClassifier.java:106)
edu.stanford.nlp.ie.NERClassifierCombiner.recognizeNumberSequences(NERClassifierCombiner.java:369)
edu.stanford.nlp.ie.NERClassifierCombiner.classifyWithGlobalInformation(NERClassifierCombiner.java:312)
edu.stanford.nlp.ie.NERClassifierCombiner.classify(NERClassifierCombiner.java:299)
edu.stanford.nlp.ie.AbstractSequenceClassifier.classifyToCharacterOffsets(AbstractSequenceClassifier.java:618)
com.innefu.util.NERSentimentUtil.getStanford(NERSentimentUtil.java:382)

2017-10-15 16:32:36 WARN NumberNormalizer:81 - java.lang.NumberFormatException: Bad number put into wordToNumber. Word is: "356.8million", originally part of "356.8million", piece # 0
edu.stanford.nlp.ie.NumberNormalizer.wordToNumber(NumberNormalizer.java:294)
edu.stanford.nlp.ie.NumberNormalizer.findNumbers(NumberNormalizer.java:636)
edu.stanford.nlp.ie.NumberNormalizer.findAndMergeNumbers(NumberNormalizer.java:725)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:189)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:183)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:114)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:104)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.runSUTime(NumberSequenceClassifier.java:345)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithSUTime(NumberSequenceClassifier.java:143)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithGlobalInformation(NumberSequenceClassifier.java:106)
edu.stanford.nlp.ie.NERClassifierCombiner.recognizeNumberSequences(NERClassifierCombiner.java:369)
edu.stanford.nlp.ie.NERClassifierCombiner.classifyWithGlobalInformation(NERClassifierCombiner.java:312)
edu.stanford.nlp.ie.NERClassifierCombiner.classify(NERClassifierCombiner.java:299)
edu.stanford.nlp.ie.AbstractSequenceClassifier.classifyToCharacterOffsets(AbstractSequenceClassifier.java:618)

2017-10-16 00:20:12 WARN NumberNormalizer:81 - java.lang.NumberFormatException: Bad number put into wordToNumber. Word is: "1.7billion", originally part of "1.7billion", piece # 0
edu.stanford.nlp.ie.NumberNormalizer.wordToNumber(NumberNormalizer.java:294)
edu.stanford.nlp.ie.NumberNormalizer.findNumbers(NumberNormalizer.java:636)
edu.stanford.nlp.ie.NumberNormalizer.findAndMergeNumbers(NumberNormalizer.java:725)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:189)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressions(TimeExpressionExtractorImpl.java:183)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:114)
edu.stanford.nlp.time.TimeExpressionExtractorImpl.extractTimeExpressionCoreMaps(TimeExpressionExtractorImpl.java:104)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.runSUTime(NumberSequenceClassifier.java:345)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithSUTime(NumberSequenceClassifier.java:143)
edu.stanford.nlp.ie.regexp.NumberSequenceClassifier.classifyWithGlobalInformation(NumberSequenceClassifier.java:106)
edu.stanford.nlp.ie.NERClassifierCombiner.recognizeNumberSequences(NERClassifierCombiner.java:369)
edu.stanford.nlp.ie.NERClassifierCombiner.classifyWithGlobalInformation(NERClassifierCombiner.java:312)
edu.stanford.nlp.ie.NERClassifierCombiner.classify(NERClassifierCombiner.java:299)
edu.stanford.nlp.ie.AbstractSequenceClassifier.classifyToCharacterOffsets(AbstractSequenceClassifier.java:618)
@demongolem
Copy link

demongolem commented Jan 23, 2018 •
edited

I face the same sort of thing with Word is: ".6billion", originally part of ".6billion", piece # 0. Is there going to be any work done on this?
It looks like consecutive tokens are .6 and billion and then in getTokenText in ChunkAnnotationUtils, the StringBuilder is constructed without a delimiter such that .6billion gets passed to wordToNumber, probably the same as in the original issue reported.

AngledLuffa added a commit that referenced this issue Jan 22, 2022
@AngledLuffa
Update the number finding pattern to accommodate starting with .6 ins…
9e18314 
…tead of 0.6 ... addresses #547
AngledLuffa added a commit that referenced this issue Feb 12, 2022
@AngledLuffa
Update the number finding pattern to accommodate starting with .6 ins…
5ee2c39 
…tead of 0.6 ... addresses #547
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
fixed on dev
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
3 participants
@demongolem @AngledLuffa @dexception