Comments (3)
Derczynski is actually already included, see here, so you could run your own experiment on it. We did not include linker results for that benchmark yet, which is probably what you're referring to. So I'll definitely put that on my TODO list, thanks for pointing it out.
For our internal experiments, we had added the OKE15 and OKE16 benchmarks before already. However, there are some peculiarities in the annotation of these two benchmarks, so I'll have to have a closer look at it before adding it. But I think fundamentally nothing speaks against adding it and I'll put in on my TODO list as well.
Note that you can also add benchmarks yourself as well as linking results.
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Great! Looking forward to evaluating my model on your platform. Let's make EL great again!
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I added the OKE15 and OKE16 benchmarks in 9232830 and also added linking results for these two benchmarks, as well as for the Derczynski and Reuters-128 benchmarks in 91c1ff4 for most systems.
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Related Issues (14)
- Error while running evaluate_linking_results.py on new results file HOT 2
- Experiment working, but some parsing errors in the document display in GUI HOT 2
- Accidental experiment title cannot be expunged HOT 3
- GENRE using deprecated numpy attribute HOT 5
- Spacy model version issues? HOT 2
- Marking coref mentions in benchmark dataset HOT 4
- Article results not being displayed HOT 2
- Candidate set HOT 1
- Error installing neuralcoref during docker build: Variables cannot be declared with 'cpdef'. Use 'cdef' instead. HOT 3
- Dependency conflict between radboud-el and xrenner HOT 4
- make download_all: alias_to_qids.db: truncated gzip input HOT 2
- Benchmark conversion from NIF format producing incorrect results HOT 2
- Experiment with REL failed on new benchmark dataset HOT 6
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