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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
- Exploring Explicit and Implicit Feature Spaces in Natural Language Processing Using Self-Enrichment and Vector Space Analysis
- User Representation Learning for Social Networks: an Empirical Study
- English–Welsh Cross-Lingual Embeddings
- Comparative Analysis of Word Embedding Methods for DSTC6 End-To-End Conversation Modeling Track
- Virtual Assistant Design for Water Systems Operation
- Measuring the Influence of L1 on Learner English Errors in Content Words Within Word Embedding Models
- Corpus-Based Word-Concept Embeddings Bridging the Statistic/Symbolic Representational Gap
- What's in Your Embedding, and How It Predicts Task Performance
- Nlpgym - a Toolkit for Evaluating RL Agents on Natural Language Processing Tasks
- Retrofitting Vectors of Words Unseen in Lexical Resources
- Voynich2vec: Using Fasttext Word Embeddings for Voynich Decipherment
- Go Simple and Pre-Train on Domain-Specific Corpora: on the Role of Training Data for Text Classification
- Master's Thesis
- CARD-660: Cambridge Rare Word Dataset – a Reliable Benchmark for Infrequent Word Representation Models
- A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions
- Two Experiments for Embedding Wordnet Hierarchy Into Vector Spaces∗
- Multilingual NLP Via Cross-Lingual Word Embeddings
- A Comparison of Neural Document Classification Models
- Lecture 4: Static Word Embeddings
- An Ontology-Based Dialogue Management System for Banking and Finance Dialogue Systems
- Arxiv:2101.04899V2
- Entity Type Prediction in Knowledge Graphs Using Embeddings
- Learning Word Vectors for 157 Languages
- Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment Task
- Appendix Available Tools and Resources
- Relational Word Embeddings
- Slide by Michael Collins a Naive Algorithm
- Automatic Language Identification of Short Texts
- Evaluating Sub-Word Embeddings in Cross-Lingual Models
- Traces of Meaning Itself: Encoding Distributional Word Vectors in Brain Activity
- Misspelling Detection from Noisy Product Images
- Deep Text Mining of Instagram Data Without Strong Supervision
- Evaluation of Vector Transformations for Russian Word2vec and Fasttext Embeddings*
- Computer Interaction in Latvian
- Fasttext Tutorial – Learn NLP Library Tools
- Towards Robust Word Embeddings for Noisy Texts
- Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment Task
- Word Embeddings and Sequence-To-Sequence Learning
- Going Beyond T-SNE: Exposing\Texttt {Whatlies} in Text Embeddings
- Language Features Matter: Effective Language Representations for Vision-Language Tasks
- A Systematic Approach to Implementing Chatbots in Organizations – RTU Leo Showcase
- Endowing Fasttext with Hyperbolic Geometry
- Probabilistic Fasttext for Multi-Sense Word Embeddings
- Case-Based Reasoning in Natural Language Processing: Word2vec VS Fasttext
- Starspace: Embed All the Things!
- Commit Classification Using Natural Language Processing
- BERT and Fasttext Embeddings for Automatic Detection of Toxic Speech Ashwin Geet D’Sa, Irina Illina, Dominique Fohr
- Evaluation of Embeddings in Medication Domain for Spanish Language Using Joint Natural Language Understanding Surya Roca, Sophie Rosset, José García, Álvaro Alesanco
- Toward Mitigating Adversarial Texts
- Converting the Point of View of Messages Spoken to Virtual Assistants
- Text Classification Based on Convolutional Neural
- End-To-End Natural Language Understanding Pipeline for Bangla Conversational Agents
- Fast and Efficient Text Classification with Class-Based Embeddings
- Arxiv:1805.04032V3 [Cs.CL] 26 Oct 2018 Manning, 2014)