SOTAVerified

Ad-Hoc Information Retrieval

Ad-hoc information retrieval refers to the task of returning information resources related to a user query formulated in natural language.

Papers

Showing 2130 of 41 papers

TitleStatusHype
Neural document expansion for ad-hoc information retrieval0
WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval DatasetCode0
A Deep Relevance Matching Model for Ad-hoc RetrievalCode0
A Self-Attentive model for Knowledge TracingCode0
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc RetrievalCode0
Deeper Text Understanding for IR with Contextual Neural Language ModelingCode0
Deep Relevance Ranking Using Enhanced Document-Query InteractionsCode0
DeepTileBars: Visualizing Term Distribution for Neural Information RetrievalCode0
End-to-End Neural Ad-hoc Ranking with Kernel PoolingCode0
Event-Driven Query ExpansionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1monoT5-3B (zero-shot)nDCG@200.61Unverified
2PARADE(ELECTRA)nDCG@200.54Unverified
3CEDR-KNRMnDCG@200.54Unverified
4PARADE(BERT)nDCG@200.53Unverified
5BERT-MaxPnDCG@200.47Unverified
6BERT-SumPnDCG@200.47Unverified
7POSIT-DRMM-MVnDCG@200.46Unverified
8Vanilla BERTnDCG@200.45Unverified
9NPRF-DRMMnDCG@200.45Unverified
10PACRRnDCG@200.45Unverified