Question Answering On Wikihop
评估指标
Test
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Test | Paper Title | Repository |
---|---|---|---|
Coref-GRU | 59.3 | Neural Models for Reasoning over Multiple Mentions using Coreference | - |
CFC | 70.6 | Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering | - |
MHPGM + NOIC | 57.9 | Commonsense for Generative Multi-Hop Question Answering Tasks | |
BigBird-etc | 82.3 | Big Bird: Transformers for Longer Sequences | |
BiDAF | 42.9 | Constructing Datasets for Multi-hop Reading Comprehension Across Documents | - |
MultiHop (Chen et al., [2019a]) | 76.5 | Multi-hop Question Answering via Reasoning Chains | |
MHQA | 65.4 | Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks | - |
LUKE-Graph | 81.0 | LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension | - |
Longformer-large | 81.9 | Longformer: The Long-Document Transformer |
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