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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 2051–2100 of 4002 papers

TitleStatusHype
Real-Time Keyword Extraction from Conversations—0
Reasoning about Linguistic Regularities in Word Embeddings using Matrix Manifolds—0
Recent Developments within BulTreeBank—0
Recognition of Hyponymy and Meronymy Relations in Word Embeddings for Polish—0
Recognition of Implicit Geographic Movement in Text—0
Recognizing Humour using Word Associations and Humour Anchor Extraction—0
Recognizing Plans by Learning Embeddings from Observed Action Distributions—0
Recognizing Salient Entities in Shopping Queries—0
Recognizing Textual Entailment in Twitter Using Word Embeddings—0
Recognizing UMLS Semantic Types with Deep Learning—0
Recommender systems, stigmergy, and the tyranny of popularity—0
Reconstructing Word Embeddings via Scattered k-Sub-Embedding—0
Reconstruction of Word Embeddings from Sub-Word Parameters—0
Recovering Structured Probability Matrices—0
ReDDIT: Regret Detection and Domain Identification from Text—0
Redefining part-of-speech classes with distributional semantic models—0
Reducing Gender Bias in Abusive Language Detection—0
Reducing Lexical Features in Parsing by Word Embeddings—0
Re-embedding words—0
ReferenceNet: a semantic-pragmatic network for capturing reference relations.—0
Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation—0
Refining Word Embeddings for Sentiment Analysis—0
Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal—0
Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency—0
Regular polysemy: from sense vectors to sense patterns—0
Rehabilitation of Count-based Models for Word Vector Representations—0
Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification—0
Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis—0
Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings—0
Relation Extraction: Perspective from Convolutional Neural Networks—0
Relation Induction in Word Embeddings Revisited—0
RelWalk -- A Latent Variable Model Approach to Knowledge Graph Embedding—0
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding—0
R\'epliquer et \'etendre pour l'alsacien ``\'Etiquetage en parties du discours de langues peu dot\'ees par sp\'ecialisation des plongements lexicaux'' (Replicating and extending for Alsatian : ``POS tagging for low-resource languages by adapting word embeddings'')—0
Representation Learning for Unseen Words by Bridging Subwords to Semantic Networks—0
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks—0
Representing Affect Information in Word Embeddings—0
Representing Support Verbs in FrameNet—0
Reranking Translation Candidates Produced by Several Bilingual Word Similarity Sources—0
Research on Multilingual News Clustering Based on Cross-Language Word Embeddings—0
Residual Stacking of RNNs for Neural Machine Translation—0
Resolving Out-of-Vocabulary Words with Bilingual Embeddings in Machine Translation—0
Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data—0
Rethinking Topic Modelling: From Document-Space to Term-Space—0
Retrieving Multi-Entity Associations: An Evaluation of Combination Modes for Word Embeddings—0
Retrofitting Contextualized Word Embeddings with Paraphrases—0
Retrofitting of Pre-trained Emotion Words with VAD-dimensions and the Plutchik Emotions—0
Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities—0
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data—0
RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN—0
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