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View Code? Open in Web Editor NEWFlexible classic and NeurAl Retrieval Toolkit
License: Apache License 2.0
Flexible classic and NeurAl Retrieval Toolkit
License: Apache License 2.0
We should prohibit these, because when we save to JSON, they are loaded back as strings.
I want to know how to reproduce the results on the MS MARCO leaderboard:
Document Retrieval:
BERT-m1 base + classic IR + doc2query (ensemble) -Eval 0.398
BERT-m1 base (v3) / traditional IR + doc2query - Eval 0.396
Passage Retrieval:
expando-mono-duo-T5 - Eval 0.408
Thanks!
Currently we expect only white-space tokenized queries. However they can accidentally contain special symbols and operators in Lucene. These can be potentially indexed sometimes. We filter them out during querying, but a smarter approach would consist in formulating the query directly using the BooleanQuery and TermQuery: https://www.tutorialspoint.com/lucene/lucene_booleanquery.htm
If we every support Lucene analyzers, however, respective queries may also contain Lucene operators. How are we going to deal with it? Perhaps, we need to see how it's done in the Elastic Search.
When searching in the non-exact mode we need to further exclude:
['OR', 'AND', 'NOT']
Perhaps, we are better off by separating things into two classes:
It is better to fail the indexing procedure (both forward & inverted) when a specified index field is not present.
This should be done by ModelSerializer.load_all
subj, by default the LETOR training part is train_fusion
and it leads to a confusing error messages when -train_part
is not specified.
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