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Word Embeddings

Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.

( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )

Papers

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Showing 1576–1600 of 4002 papers

TitleStatusHype
Usability and Accessibility of Bantu Language Dictionaries in the Digital Age: Mobile Access in an Open Environment—0
Graph Exploration and Cross-lingual Word Embeddings for Translation Inference Across Dictionaries—0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers—0
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries—0
Analyzing the Surprising Variability in Word Embedding Stability Across LanguagesCode0
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!Code1
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change DetectionCode1
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic LanguagesCode1
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
A Call for More Rigor in Unsupervised Cross-lingual Learning—0
Morphological Disambiguation of South Sámi with FSTs and Neural Networks—0
LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space—0
On the Reliability of Test Collections for Evaluating Systems of Different Types—0
Embarrassingly Simple Unsupervised Aspect ExtractionCode1
Intuitive Contrasting Map for Antonym EmbeddingsCode0
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?Code0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
All Word Embeddings from One EmbeddingCode1
On Adversarial Examples for Biomedical NLP Tasks—0
Upgrading the Newsroom: An Automated Image Selection System for News Articles—0
Revisiting the Context Window for Cross-lingual Word Embeddings—0
Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets—0
A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT—0
Effect of Text Color on Word Embeddings—0
A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical AttentionCode0
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