Representation Learning for Natural Language Processing
arXiv:2102.03732 · doi:10.1007/978-981-15-5573-2
Abstract
This book aims to review and present the recent advances of distributed representation learning for NLP, including why representation learning can improve NLP, how representation learning takes part in various important topics of NLP, and what challenges are still not well addressed by distributed representation.
Published in Springer
References in corpus (35)
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- Sequence to Sequence Learning with Neural Networks
- Modularity and community structure in networks
- Distributed Representations of Sentences and Documents
- Finding community structure in networks using the eigenvectors of matrices
- LINE: Large-scale Information Network Embedding
- Cross-lingual Language Model Pretraining
- Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition
- Deep Convolutional Networks on Graph-Structured Data
- Supervised Topic Models
- Graph Convolutional Matrix Completion
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- Zero-Shot Learning Through Cross-Modal Transfer
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- On Smoothing and Inference for Topic Models
- Gated Feedback Recurrent Neural Networks
- Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression
- Reducing Transformer Depth on Demand with Structured Dropout
- SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
- A Comprehensive Survey on Cross-modal Retrieval
- Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
- Syntactic Topic Models
- Cross-Sentence N-ary Relation Extraction with Graph LSTMs
- A Survey of Word Embeddings Evaluation Methods
- Word-Entity Duet Representations for Document Ranking
- A Neural Knowledge Language Model
- Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation
- Contrastive Learning for Image Captioning
- Joint Representation Learning of Text and Knowledge for Knowledge Graph Completion
- Knowledge Graph Representation with Jointly Structural and Textual Encoding
- Cross-modal Common Representation Learning by Hybrid Transfer Network
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