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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 2001–2050 of 4002 papers

TitleStatusHype
Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990Code0
Exploring sentence informativeness—0
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models—0
Analysis of Word Embeddings Using Fuzzy Clustering—0
Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe—0
Multimodal deep networks for text and image-based document classificationCode0
The Dynamic Embedded Topic ModelCode0
Topic Modeling in Embedding SpacesCode1
An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures—0
Improving Chemical Named Entity Recognition in Patents with Contextualized Word EmbeddingsCode0
Morphological Word Embeddings—0
Word Embeddings for the Analysis of Ideological Placement in Parliamentary CorporaCode1
Interpretable Segmentation of Medical Free-Text Records Based on Word EmbeddingsCode0
Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service RobotsCode0
Assessing Wordnets with WordNet EmbeddingsCode0
Visualising WordNet Embeddings: some preliminary results—0
Fitting Semantic Relations to Word Embeddings—0
Synthetic, yet natural: Properties of WordNet random walk corpora and the impact of rare words on embedding performance—0
Apprentissage de plongements lexicaux par une approche r\'eseaux complexes (Complex networks based word embeddings)—0
Apprentissage de plongements de mots dynamiques avec r\'egularisation de la d\'erive (Learning dynamic word embeddings with drift regularisation)—0
Hybridation d'un agent conversationnel avec des plongements lexicaux pour la formation au diagnostic m\'edical (Hybridization of a conversational agent with word embeddings for medical diagnostic training)—0
Exploring Numeracy in Word Embeddings—0
EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode DecompositionCode0
Towards Incremental Learning of Word Embeddings Using Context InformativenessCode0
Better OOV Translation with Bilingual Terminology Mining—0
Self-Attention Architectures for Answer-Agnostic Neural Question Generation—0
Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View—0
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference LearningCode0
Collocation Classification with Unsupervised Relation VectorsCode0
De-Mixing Sentiment from Code-Mixed Text—0
Word2Sense: Sparse Interpretable Word Embeddings—0
Unsupervised Joint Training of Bilingual Word Embeddings—0
Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation EvaluationCode0
Embedding Strategies for Specialized Domains: Application to Clinical Entity RecognitionCode0
Are Girls Neko or Sh\=ojo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization—0
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language ModelsCode1
ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic—0
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation ModelsCode0
Robust to Noise Models in Natural Language Processing TasksCode0
Reliability-aware Dynamic Feature Composition for Name TaggingCode0
A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings—0
LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories—0
Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting—0
Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings—0
Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine TranslationCode0
Few-Shot Representation Learning for Out-Of-Vocabulary WordsCode0
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations—0
Learning to Rank Broad and Narrow Queries in E-Commerce—0
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing TasksCode0
Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit SegmentationCode0
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