awesome-nlp-references
A curated list of resources dedicated to Knowledge Distillation, Recommendation System, especially Natural Language Processing (NLP).
https://github.com/JudePark96/awesome-nlp-references
Last synced: 3 days ago
JSON representation
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Language Model
- Contextualized Non-local Neural Networks for Sequence Learning
- DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
- Implementation in PyTorch
- A Generative Model for Joint Natural Language Understanding and Generation
- A new model and dataset for long-range memory
- Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation
- ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
- Introducing MASS – A pre-training method that outperforms BERT and GPT in sequence to sequence language generation tasks
- Visual Paper Summary: ALBERT (A Lite BERT)
- A Primer in BERTology: What we know about how BERT works
- Universal Transformer
- An Efficient Framework for Learning Sentence Representations
- DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
- A Generative Model for Joint Natural Language Understanding and Generation
- reformer-pytorch
- A Primer in BERTology: What we know about how BERT works
- Universal Transformer
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Recommendation System
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Knowledge Distillation
- Distilling Transformers into Simple Neural Networks with Unlabeled Transfer Data
- Robust Language Representation Learning via Multi-task Knowledge Distillation
- Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models
- Understanding Knowledge Distillation in Neural Sequence Generation
- Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
- Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models
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Metric Learning
- Metric Learning for Dynamic Text Classification
- Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings
- Matching Natural Language Sentences with Hierarchical Sentence Factorization
- Instance Cross Entropy for Deep Metric Learning
- RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
- Metric Learning for Dynamic Text Classification
- Deep Metric Learning using Similarities from Nonlinear Rank Approximations
- Keyword-Attentive Deep Semantic Matching
- BERTScore: Evaluating Text Generation with BERT
- Matching Embeddings for Domain Adaptation
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Graph Neural Network
- Graph Neural Networks: Models and Applications
- Generating Logical Forms from Graph Representations of Text and Entities
- Graph Neural Networks: Models and Applications
- Generating Logical Forms from Graph Representations of Text and Entities
- K-BERT: Enabling Language Representation With Knowledge Graph
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Evaluation Metric
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Conversational Agents
- Deep Generative Models with Learnable Knowledge Constraints
- Towards a Human-like Open-Domain Chatbot
- Self-Supervised Dialogue Learning
- Sequential Attention-based Network for Noetic End-to-End Response Selection
- Neural Text Generation from Rich Semantic Representations
- Pretraining Methods for Dialog Context Representation Learning
- Explaination in Korean by PingPong Team
- Self-Supervised Dialogue Learning
- Pretraining Methods for Dialog Context Representation Learning
- Deep Generative Models with Learnable Knowledge Constraints
- Deep Generative Models with Learnable Knowledge Constraints
- Explaination in Korean by PingPong Team
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Pre-Processing
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Data Argumentation
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Retrieval
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Meta Learning
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Named Entity Recognition
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Keyphrase Extraction/Generation
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Relation Extraction
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Machine Translation
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Tutorial
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Uncategorized
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Uncategorized
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Tool
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Sequence Labeling
Programming Languages
Categories
Language Model
17
Conversational Agents
12
Metric Learning
10
Tutorial
6
Knowledge Distillation
6
Graph Neural Network
5
Named Entity Recognition
3
Relation Extraction
2
Data Argumentation
2
Machine Translation
2
Recommendation System
2
Keyphrase Extraction/Generation
2
Retrieval
1
Evaluation Metric
1
Meta Learning
1
Uncategorized
1
Tool
1
Sequence Labeling
1
Pre-Processing
1
Sub Categories
Keywords
machine-learning
2
nlp
2
pytorch
2
data-science
1
python
1
knowledge-embedding
1
attention
1
cnn-seq2seq
1
encoder-decoder
1
encoder-decoder-model
1
gru
1
lstm
1
neural-machine-translation
1
pytorch-implementation
1
pytorch-implmention
1
pytorch-nlp
1
pytorch-seq2seq
1
pytorch-tutorial
1
pytorch-tutorials
1
rnn
1
seq2seq
1
sequence-to-sequence
1
torchtext
1
transformer
1
tutorial
1
artificial-intelligence
1
attention-mechanism
1
transformers
1
deep-learning
1
tensorflow
1