| monoT5-3B (zero-shot) |
- MAP
- 0.3876
- P@20
- 0.5165
- nDCG@20
- 0.6091
|
Document Ranking with a Pretrained Sequence-to-Sequence Model 2020-03-14 |
코드 1 · 코드 2 |
| PARADE(ELECTRA) |
- P@20
- 0.4604
- nDCG@20
- 0.5399
|
PARADE: Passage Representation Aggregation for Document Reranking 2020-08-20 |
코드 1 |
| CEDR-KNRM |
- P@20
- 0.4667
- nDCG@20
- 0.5381
|
CEDR: Contextualized Embeddings for Document Ranking 2019-04-15 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 |
| PARADE(BERT) |
- P@20
- 0.4486
- nDCG@20
- 0.5252
|
PARADE: Passage Representation Aggregation for Document Reranking 2020-08-20 |
코드 1 |
| BERT-MaxP |
- nDCG@20
- 0.469
|
Deeper Text Understanding for IR with Contextual Neural Language Modeling 2019-05-22 |
코드 1 |
| BERT-SumP |
- nDCG@20
- 0.467
|
Deeper Text Understanding for IR with Contextual Neural Language Modeling 2019-05-22 |
코드 1 |
| POSIT-DRMM-MV |
- MAP
- 0.271
- P@20
- 0.389
- nDCG@20
- 0.464
|
Deep Relevance Ranking Using Enhanced Document-Query Interactions 2018-09-05 |
코드 1 |
| Vanilla BERT |
- P@20
- 0.4042
- nDCG@20
- 0.4541
|
CEDR: Contextualized Embeddings for Document Ranking 2019-04-15 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 |
| NPRF-DRMM |
- MAP
- 0.2904
- P@20
- 0.4064
- nDCG@20
- 0.4502
|
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval 2018-10-30 |
코드 1 |
| PACRR |
- MAP
- 0.258
- P@20
- 0.374
- nDCG@20
- 0.445
|
Deep Relevance Ranking Using Enhanced Document-Query Interactions 2018-09-05 |
코드 1 |
| BERT-FirstP |
- nDCG@20
- 0.444
|
Deeper Text Understanding for IR with Contextual Neural Language Modeling 2019-05-22 |
코드 1 |
| SNRM-PRF |
- MAP
- 0.2971
- P@20
- 0.3948
- nDCG@20
- 0.4391
|
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing 2018-10-22 |
코드 1 |
| NPRF-KNRM |
- MAP
- 0.2846
- P@20
- 0.3926
- nDCG@20
- 0.4327
|
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval 2018-10-30 |
코드 1 |
| SNRM |
- MAP
- 0.2856
- P@20
- 0.3766
- nDCG@20
- 0.4310
|
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing 2018-10-22 |
코드 1 |
| DRMM |
- MAP
- 0.279
- P@20
- 0.382
- nDCG@20
- 0.431
|
A Deep Relevance Matching Model for Ad-hoc Retrieval 2017-11-23 |
코드 1 · 코드 2 · 코드 3 |
| KNRM |
- MAP
- 0.2464
- P@20
- 0.3510
- nDCG@20
- 0.3989
|
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval 2018-10-30 |
코드 1 |
| BERT FT(Microblog) |
- MAP
- 0.3278
- P@20
- 0.4287
|
Simple Applications of BERT for Ad Hoc Document Retrieval 2019-03-26 |
코드 1 · 코드 2 |
| Anserini BM25+RM3 |
- MAP
- 0.302
- P@20
- 0.4012
|
The Neural Hype and Comparisons Against Weak Baselines 2018-12-01 |
코드 1 |
| FNRM-RankProb_Embed |
- MAP
- 0.2837
|
Neural Ranking Models with Weak Supervision 2017-04-28 |
코드 1 |
| FNRM-Rank_Embed |
- MAP
- 0.2811
|
Neural Ranking Models with Weak Supervision 2017-04-28 |
코드 1 |
| QL |
- MAP
- 0.2499
|
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing 2018-10-22 |
코드 1 |