Comments (3)
Yes, we used the POS feature. See our paper for details.
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in 1 1 2 2 as distance
use pos:: 59.0 | 62.3 | 59.7 | 70.0 | 54.3 | 57.4
your paper: 63.2| 68.5 | 58.7 | 69.5 | 52.7 | 53.7
I can't imagine why this would happen
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The difference is indeed large, but I am not sure why you are getting lower numbers. I suggest you try running experiments with different seeds and take the average.
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Related Issues (18)
- Share the ACE preprocessing code HOT 1
- excuse me HOT 1
- What's the data in vocab.txt and how can I get it? HOT 1
- parameters HOT 5
- A query about your paper HOT 1
- seven entity types or nine entity types HOT 1
- vocab.txt HOT 1
- aligned.embed.300.vec? HOT 1
- Request for preprocessed data with LDC License HOT 1
- Provide the format of pre-processed data? HOT 2
- How should I handle the data for EARL? HOT 1
- What's the value for "subj_type" when performing EARL?
- What is negative samples? HOT 1
- Request for the preprocessed dataset HOT 1
- Confusion over Dataset Processing HOT 2
- A query in the paper HOT 4
- Something puzzling on experiments HOT 2
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