FastText
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- Unsupervised Context-Sensitive Spelling Correction of Clinical Free-Text with Word and Character N-Gram Embeddings
- Leveraging Web Semantic Knowledge in Word Representation Learning
- Senteval: an Evaluation Toolkit for Universal Sentence Representations
- Going Beyond T-SNE: Exposing Whatlies in Text Embeddings
- Fasttext CRF Damien Sileo, Camille Pradel, Philippe Muller, Tim Van De Cruys
- A Deep Neural Network Approach for Entity Linking Using Word and Knowledge Embeddings
- Classification of Arabic News Texts with Fasttext Method
- Pre-Trained Word Embeddings for Indian Languages
- Combining BERT with Static Word Embeddings for Categorizing Social Media
- Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings
- Targeted Aspect-Based Sentiment Analysis for Lithuanian Social Media Reviews
- Arxiv:2004.00033V2
- Prerequisites for Extracting Entity Relations from Swedish Texts
- Arxiv:2103.13309V1 [Cs.CL] 24 Mar 2021
- Comparing the Quality and Speed of Sentence Classification with Modern Language Models
- Recognai's Working Notes for CANTEMIST-NER Track
- Document Classification with Docbert, Et. Al
- Enriching Word Vectors with Subword Information