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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 1201–1250 of 4002 papers

TitleStatusHype
Document-Level Machine Translation with Word Vector Models—0
Document-Level Sentiment Analysis of Urdu Text Using Deep Learning Techniques—0
Do Deep Learning Models and News Headlines Outperform Conventional Prediction Techniques on Forex Data?—0
Does History Matter? Using Narrative Context to Predict the Trajectory of Sentence Sentiment—0
Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification—0
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations—0
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations—0
Do gender neutral affixes naturally reduce gender bias in static word embeddings?—0
Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary words—0
Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings—0
Domain adaptation for part-of-speech tagging of noisy user-generated text—0
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing—0
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval—0
Comparative analysis of word embeddings in assessing semantic similarity of complex sentences—0
BioReddit: Word Embeddings for User-Generated Biomedical NLP—0
Do Not Harm Protected Groups in Debiasing Language Representation Models—0
Do not neglect related languages: The case of low-resource Occitan cross-lingual word embeddings—0
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Development of Word Embeddings for Uzbek Language—0
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects—0
DoTheMath at SemEval-2020 Task 12 : Deep Neural Networks with Self Attention for Arabic Offensive Language Detection—0
An exploration of the encoding of grammatical gender in word embeddings—0
Do We Need Neural Models to Explain Human Judgments of Acceptability?—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
The Influence of Down-Sampling Strategies on SVD Word Embedding Stability—0
An RNN-based Binary Classifier for the Story Cloze Test—0
Do Word Embeddings Really Understand Loughran-McDonald's Polarities?—0
Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer—0
Development of a Japanese Personality Dictionary based on Psychological Methods—0
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations—0
DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator—0
Dual Embeddings and Metrics for Relational Similarity—0
Developing Conversational Data and Detection of Conversational Humor in Telugu—0
Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations—0
Du bon usage d'ingr\'edients linguistiques sp\'eciaux pour classer des recettes exceptionnelles (Using Special Linguistic Ingredients to Classify Exceptional Recipes )—0
BLISS in Non-Isometric Embedding Spaces—0
An Unsupervised Approach for Mapping between Vector Spaces—0
Beyond Context: A New Perspective for Word Embeddings—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques—0
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection—0
Dyr Bul Shchyl. Proxying Sound Symbolism With Word Embeddings—0
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora—0
Early Discovery of Disappearing Entities in Microblogs—0
Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction—0
Easy-First Dependency Parsing with Hierarchical Tree LSTMs—0
Bootstrapping NLU Models with Multi-task Learning—0
A Framework for Understanding the Role of Morphology in Universal Dependency Parsing—0
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