Comments (2)
Thank you for your reply.
Now I understand that this behavior is reasonable from your kind explanation.
this looks like a one-in-a-million kind of edge case
I agree. We would almost never encounter such a case 😂
Thanks again!
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Heya! That's a good question. It looks like a case of ERRANT not merging something I would have hoped it would merge.
Specifically, it seems the human annotator wanted to add , or something ,
(note the insertion of 2 commas) into the reference to make it make sense with the reference to a place
later in the sentence. I would have hoped ERRANT would group this together as a single multi-word insertion edit: e.g.
A 7 7|||M:OTHER|||, or something,|||REQUIRED|||-NONE-|||0
... but it instead chooses to split it into 4 separate insertion edits at the same place.
A 7 7|||M:PUNCT|||,|||REQUIRED|||-NONE-|||0
A 7 7|||M:CONJ|||or|||REQUIRED|||-NONE-|||0
A 7 7|||M:NOUN|||something|||REQUIRED|||-NONE-|||0
A 7 7|||M:PUNCT|||,|||REQUIRED|||-NONE-|||0
Since the hypothesis correctly inserted a comma after somebody
however, it looks as though it matches both the comma at the start of the phrase and the comma at the end of the phrase. The fix would thus be to make sure the reference edits are not split into several smaller edits, but sadly, I know I can't do that without negatively affecting other edit alignments.
I agree that it doesn't make sense for the number of TPs to exceed the number of edits, but this looks like a one-in-a-million kind of edge case to me. The errant.Annotator.annotate()
has actually output the correct number of edits from the reference, and if the hypothesis matched the reference, then it should be rewarded with 2 TPs for matching both commas.
In short - there's not a lot I can do about it other than say you found a needle in a haystack!
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Related Issues (20)
- Expose errant_compare functionality via the API HOT 3
- Merge Casing Issue HOT 2
- Handling Missing Annotations on certain sentence HOT 5
- Edits missed for a substitute -> Delete -> Substitute sequence. HOT 3
- OSError: [E053] Could not read meta.json from en\meta.json HOT 3
- Implementation issue HOT 6
- UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 2490: ordinal not in range(128) HOT 2
- Parallel_to_m2 is not working HOT 1
- Licensing concerns HOT 6
- Errant parse method not working HOT 5
- Wrong format for incorr_sentences.txt HOT 4
- ‘’AttributeError: 'English' object has no attribute 'tagger'” when running the "Quick Start" code in API given in README.md HOT 4
- Ignore temporary files generated by installation HOT 1
- cancelling
- Edit indices HOT 3
- Simulate Errors HOT 1
- API Quickstart script not working - Please update with fix provided HOT 2
- Is there any way to further improve the method of summarizing error types? HOT 1
- Annotation HOT 4
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