Word embedding
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- Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations
- Semantic Structure
- Leveraging Web Semantic Knowledge in Word Representation Learning
- Going Beyond T-SNE: Exposing Whatlies in Text Embeddings
- Reducing Word Embedding Bias Using Learned Latent Structure
- Pre-Trained Word Embeddings for Indian Languages
- Near-Lossless Binarization of Word Embeddings
- Word Embeddings
- CS 4803 / 7643: Deep Learning Guest Lecture: Embeddings and World2vec
- A Sentence Embedding Method by Dissecting BERT-Based Word Models Bin Wang, Student Member, IEEE, and C.-C
- Decomposing Word Embedding with the Capsule Network
- Healthcare NER Models Using Language Model Pretraining Empirical Evaluation of Healthcare NER Model Performance with Limited Training Data
- Deconstructing Word Embedding Algorithms
- Evaluating Word Embedding Models: Methods and Experimental Results Bin Wang,1∗ Angela Wang,2∗ Fenxiao Chen,1 Yuncheng Wang1 and C.-C
- Embeddings in Natural Language Processing
- Supervised Word Sense Disambiguation Using New Features Based on Word Embeddings
- Derive Word Embeddings from Knowledge Graph
- Enriching Word Vectors with Subword Information