Comments (5)
cc @Parry-Parry, @heinrichreimer.
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Alright, for pretokenized indexes, termpipelines=
is in the index/data.properties
file, and in this case ir_axioms uses a default term-pipeline that applies some normalization.
@heinrichreimer Do you have any preferences how we could solve this? E.g., so that it is usable but maybe still compatible with previous behaviour?
from ir_axioms.
@heinrichreimer @mam10eks So I assume the default pipe is stopwords, porter stemmer, this is always included in data.properties should shouldn't be an issue in the default case
from ir_axioms.
one possible suggestion could also be that we introduce a new PreTokenizedTerrierIndexContext
that is a TerrierIndexContext
and jst overrides the termpipeline
property?
from ir_axioms.
I'd say it would be best to fix this in the PyTerrier backend here:
ir_axioms/ir_axioms/backend/pyterrier/__init__.py
Lines 229 to 234 in 4212946
Is there a PyTerrier API to access the pre-tokenized terms given the document ID?
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Related Issues (11)
- Python 3.7 interop HOT 1
- Optimize operators with MatchPy HOT 1
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- More variants for embedding-based similarities
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- Document changes in axiom definitions HOT 1
- Document similarity implementations
- Spynx documentation
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