Stanford NER tagger generates 'file not found' exception with provided models

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别那么骄傲
别那么骄傲 2020-12-20 09:39

I downloaded stanford NER 3.4.1, unpacked it, and tried to run named entity recognition on a local file using the default (provided) trained model. I got this:



        
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  •  时光说笑
    2020-12-20 10:08

    It turns out that the provided models use "distributional similarity features" that require a .clusters file at a location specified in the compressed model file (tricky to change). If you're on the stanford network, presumably the required files are there. If not, I found two choices:

    1. Download stanford NER without the distributional similarity features (slightly degrades performance, but runs faster). disclaimer: I havn't actually tried this, but it should work.
    2. Download the distsim file (look here) from stanford and create a sym-link to it so it appears to be in the correct location. In my case on a Mac, I did this:
      • I created a heirarchy of folders u/nlp/data/pos_tags_are_useless/ somewhere,
      • copied the downloaded egw4-reut.512.clusters file there,
      • then cd /; sudo ln -s /u.

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