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A Simple and Effective Model for Answering Multi-span Questions
6 months ago
Natural Language Processing
Intelligent Question Answering
Transformer
Method/Architecture
Natural Language Processing
Task/Problem
Summary
Paper
Benchmarks
Resources
eladsegal/project-NLP-AML
j30206868/numnet-chinese
pytorch
llamazing/numnet_plus
pytorch
eladsegal/tag-based-multi-span-extraction
Official
HyperAI
HyperAI
Main
Home
GPU
Console
Docs
Pricing
Pulse
News
Resources
Papers
Notebooks
Datasets
Wiki
Benchmarks
SOTA
LLM Models
GPU Leaderboard
Community
Events
Utility
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
⌘
K
Command Palette
Search for a command to run...
Sign In
HyperAI
Papers
A Simple and Effective Model for Answering Multi-span Questions
6 months ago
Natural Language Processing
Intelligent Question Answering
Transformer
Method/Architecture
Natural Language Processing
Task/Problem
Summary
Paper
Benchmarks
Resources
eladsegal/project-NLP-AML
j30206868/numnet-chinese
pytorch
llamazing/numnet_plus
pytorch
eladsegal/tag-based-multi-span-extraction
Official
Resources - A Simple and Effective Model for Answering Multi-span Questions | Papers | HyperAI
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