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Search results for natural language processing multi task learning
multi-task-learning
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natural-language-processing
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14 search results found
Mt Dnn
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2,154
Multi-Task Deep Neural Networks for Natural Language Understanding
Hmtl
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1,176
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
Instruction Tuning Papers
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555
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
M3tl
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544
BERT for Multitask Learning
Unifiedskg
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528
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Unifiedskg
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508
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Cpm Live
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449
Live Training for Open-source Big Models
Mt Dnn
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148
Multi-Task Deep Neural Networks for Natural Language Understanding
Sluice Networks
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119
Code for Sluice networks: Learning what to share between loosely related tasks
Tasksource
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103
Datasets collection and standardization preprocessings for NLP extreme multitask learning
Tre
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97
[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations
Distre
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78
[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
Palm
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74
a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.
Pfn
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43
EMNLP 2021 - A Partition Filter Network for Joint Entity and Relation Extraction
Mvp
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32
This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.
Cups Rl
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27
Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
Mlmt
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24
Code for the paper "A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling" (ACL2018)
Tfmtl
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10
A TensorFlow Framework for Multi-Task Learning and Text Classification
Neural_emotion_intensity_prediction
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9
The code for our proposed neural models which give state-of-the-art performance for emotion intensity detection in tweets.
Clic It_2023_tutorial
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8
This repository hosts materials from the CLiC-IT 2023 tutorial
Multi Task Learning Using Uncertainty To Weigh Losses
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5
Naacl Mpqa Srl4orl
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5
SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning With Semantic Role Labeling
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