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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 2651–2700 of 4002 papers

TitleStatusHype
Utilizing Pre-Trained Word Embeddings to Learn Classification Lexicons with Little Supervision—0
Utilizing Word Embeddings based Features for Phylogenetic Tree Generation of Sanskrit Texts—0
Utterance Intent Classification of a Spoken Dialogue System with Efficiently Untied Recursive Autoencoders—0
UWat-Emote at EmoInt-2017: Emotion Intensity Detection using Affect Clues, Sentiment Polarity and Word Embeddings—0
UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network—0
UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination—0
UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets—0
UWB at SemEval-2018 Task 3: Irony detection in English tweets—0
UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes—0
“Vaderland”, “Volk” and “Natie”: Semantic Change Related to Nationalism in Dutch Literature Between 1700 and 1880 Captured with Dynamic Bernoulli Word Embeddings—0
Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding—0
Variable Mini-Batch Sizing and Pre-Trained Embeddings—0
Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases—0
Variational Gaussian Topic Model with Invertible Neural Projections—0
Varying Linguistic Purposes of Emoji in (Twitter) Context—0
Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels—0
VecShare: A Framework for Sharing Word Representation Vectors—0
Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity—0
Vector representations of text data in deep learning—0
VectorWeavers at SemEval-2016 Task 10: From Incremental Meaning to Semantic Unit (phrase by phrase)—0
Verb Argument Structure Alternations in Word and Sentence Embeddings—0
ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents—0
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data—0
VinAI at ChEMU 2020: An accurate system for named entity recognition in chemical reactions from patents—0
Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities—0
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision—0
How direct is the link between words and images?—0
Visual Grounding of Inter-lingual Word-Embeddings—0
Visualising WordNet Embeddings: some preliminary results—0
Visualizing Linguistic Shift—0
Visualizing Temporal Topic Embeddings with a Compass—0
Visually Aligned Word Embeddings for Improving Zero-shot Learning—0
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation—0
Visual Question Answering with Prior Class Semantics—0
Visual Relationship Detection with Language Priors—0
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction—0
Visual-Semantic Embedding Model Informed by Structured Knowledge—0
Visual Storytelling via Predicting Anchor Word Embeddings in the Stories—0
Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction—0
Visual-Textual Attentive Semantic Consistency for Medical Report Generation—0
VITRO: Vocabulary Inversion for Time-series Representation Optimization—0
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings—0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
Vocabulary-informed Language Encoding—0
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models—0
Voting for POS tagging of Latin texts: Using the flair of FLAIR to better Ensemble Classifiers by Example of Latin—0
VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases—0
WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition—0
Wasserstein Barycenter Model Ensembling—0
Wasserstein distances for evaluating cross-lingual embeddings—0
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