SOTAVerified

Document Ranking

Sort documents according to some criterion so that the "best" results appear early in the result list displayed to the user (Source: Wikipedia).

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 168 papers

TitleStatusHype
Understanding the Behaviors of BERT in Ranking—0
CEDR: Contextualized Embeddings for Document RankingCode0
Joint Optimization of Cascade Ranking ModelsCode0
DeepTileBars: Visualizing Term Distribution for Neural Information RetrievalCode0
Learning Neural Representation for CLIR with Adversarial Framework—0
Interpreting search result rankings through intent modeling—0
Repeatability Corner Cases in Document Ranking: The Impact of Score Ties—0
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval—0
Phrase2VecGLM: Neural generalized language model--based semantic tagging for complex query reformulation in medical IR—0
Learning to Rank from Samples of Variable Quality—0
Learning Word Embeddings for Low-Resource Languages by PU Learning—0
Deep Neural Network for Learning to Rank Query-Text Pairs—0
Multi-Task Learning for Document Ranking and Query SuggestionCode0
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017)—0
Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision—0
A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC—0
Utilizing Embeddings for Ad-hoc Retrieval by Document-to-document Similarity—0
Neural Vector Spaces for Unsupervised Information RetrievalCode0
Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams—0
Word-Entity Duet Representations for Document Ranking—0
End-to-End Neural Ad-hoc Ranking with Kernel PoolingCode0
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval ModelsCode0
Effective shared representations with Multitask Learning for Community Question Answering—0
Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval—0
Learning to Weight Translations using Ordinal Linear Regression and Query-generated Training Data for Ad-hoc Retrieval with Long Queries—0
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All datasetsDaReCzechClueWeb09-B

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Query-doc RobeCzech (Roberta-base)P@1046.73—Unverified
2Query-doc Small-E-Czech (Electra-small)P@1046.3—Unverified
3Siamese Small-E-Czech (Electra-small)P@1045.26—Unverified
#ModelMetricClaimedVerifiedStatus
1XLNetERR@2020.28—Unverified