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SOTA
Ad Hoc Information Retrieval
Ad Hoc Information Retrieval On Trec Robust04
Ad Hoc Information Retrieval On Trec Robust04
Métriques
MAP
P@20
nDCG@20
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
MAP
P@20
nDCG@20
Paper Title
Repository
monoT5-3B (zero-shot)
0.3876
0.5165
0.6091
Document Ranking with a Pretrained Sequence-to-Sequence Model
CEDR-KNRM
-
0.4667
0.5381
CEDR: Contextualized Embeddings for Document Ranking
FNRM-Rank_Embed
0.2811
-
-
Neural Ranking Models with Weak Supervision
DRMM
0.279
0.382
0.431
A Deep Relevance Matching Model for Ad-hoc Retrieval
FNRM-RankProb_Embed
0.2837
-
-
Neural Ranking Models with Weak Supervision
Vanilla BERT
-
0.4042
0.4541
CEDR: Contextualized Embeddings for Document Ranking
SNRM-PRF
0.2971
0.3948
0.4391
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing
-
KNRM
0.2464
0.3510
0.3989
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
POSIT-DRMM-MV
0.271
0.389
0.464
Deep Relevance Ranking Using Enhanced Document-Query Interactions
PARADE(ELECTRA)
-
0.4604
0.5399
PARADE: Passage Representation Aggregation for Document Reranking
BERT-MaxP
-
-
0.469
Deeper Text Understanding for IR with Contextual Neural Language Modeling
Anserini BM25+RM3
0.302
0.4012
-
The Neural Hype and Comparisons Against Weak Baselines
SNRM
0.2856
0.3766
0.4310
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing
-
BERT FT(Microblog)
0.3278
0.4287
-
Simple Applications of BERT for Ad Hoc Document Retrieval
PARADE(BERT)
-
0.4486
0.5252
PARADE: Passage Representation Aggregation for Document Reranking
NPRF-KNRM
0.2846
0.3926
0.4327
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
QL
0.2499
-
-
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing
-
PACRR
0.258
0.374
0.445
Deep Relevance Ranking Using Enhanced Document-Query Interactions
BERT-SumP
-
-
0.467
Deeper Text Understanding for IR with Contextual Neural Language Modeling
NPRF-DRMM
0.2904
0.4064
0.4502
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
0 of 21 row(s) selected.
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