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Re-Ranking

Papers

Showing 601625 of 743 papers

TitleStatusHype
ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking0
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation0
Leverage Implicit Feedback for Context-aware Product Search0
Global-Local Temporal Representations For Video Person Re-Identification0
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning0
Two-Stage Session-based Recommendations with Candidate Rank Embeddings0
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints0
Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes0
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-based Scoring Function for Re-ranking Peptide-Spectrum Matches0
Matching Images and Text with Multi-modal Tensor Fusion and Re-rankingCode0
Neural and FST-based approaches to grammatical error correction0
TMU Transformer System Using BERT for Re-ranking at BEA 2019 Grammatical Error Correction on Restricted Track0
PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation0
Baidu Neural Machine Translation Systems for WMT190
Multi-Granularity Fusion Network for Proposal and Activity Localization: Submission to ActivityNet Challenge 2019 Task 1 and Task 20
Careful Selection of Knowledge to solve Open Book Question Answering0
An Efficient Framework for Visible-Infrared Cross Modality Person Re-Identification0
Let's measure run time! Extending the IR replicability infrastructure to include performance aspects0
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks0
Semantic Driven Fielded Entity Retrieval0
Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment0
Re-ranking Based Diversification: A Unifying View0
Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines0
Team JL Solution to Google Landmark Recognition 20190
RankQA: Neural Question Answering with Answer Re-RankingCode0
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