Comments (1)
Not really. The Stanford NER and parser were trained on "regular" text coming from news and scientific articles. For parsing tweets, take a look at: http://www.ark.cs.cmu.edu/TweetNLP/
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Related Issues (20)
- Normalization issues HOT 8
- CluProcessor.parseSentenceWithEisner seems to be crashing HOT 8
- RuntimeException: inferenceWithScores not supported for ViterbiLayer HOT 7
- NumericEntityRecognition hangs HOT 5
- using auto closer HOT 2
- sentence tokenization issue HOT 2
- [numeric mentions] cannot get date for Thanksgiving Day HOT 10
- [odin] EmbeddingsResource should extend ExplicitWordEmbeddingMap HOT 4
- Optionally preserve unrecognized tokens HOT 4
- Mask certain tokens during annotation HOT 2
- Splitting up Odin taxonomy into multiple files? HOT 2
- handling holidays HOT 2
- Normalize "grand" HOT 7
- Unreliable tests HOT 2
- The webapp messes up the project in IntelliJ HOT 3
- Preferred size of graphs is not set upon Document deserialization HOT 3
- Hashing is inconsistent HOT 2
- equivalenceHash makes use of hashCode
- pounds as measurements HOT 1
- Paths are written for Mentions that are non-arguments but not read back in
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