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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 1101–1150 of 4002 papers

TitleStatusHype
Gender bias in (non)-contextual clinical word embeddings for stereotypical medical categories—0
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations—0
BhamNLP at SemEval-2020 Task 12: An Ensemble of Different Word Embeddings and Emotion Transfer Learning for Arabic Offensive Language Identification in Social Media—0
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining—0
A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models—0
Do gender neutral affixes naturally reduce gender bias in static word embeddings?—0
Do Deep Learning Models and News Headlines Outperform Conventional Prediction Techniques on Forex Data?—0
Document-Level Sentiment Analysis of Urdu Text Using Deep Learning Techniques—0
Does History Matter? Using Narrative Context to Predict the Trajectory of Sentence Sentiment—0
A bilingual approach to specialised adjectives through word embeddings in the karstology domain—0
Diachronic Embeddings for People in the News—0
An Exploratory Analysis on the Explanatory Potential of Embedding-Based Measures of Semantic Transparency for Malay Word Recognition—0
Document Embedding for Scientific Articles: Efficacy of Word Embeddings vs TFIDF—0
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations—0
Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary words—0
Do Not Harm Protected Groups in Debiasing Language Representation Models—0
Diachronic degradation of language models: Insights from social media—0
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring—0
An Exploration of Word Embedding Initialization in Deep-Learning Tasks—0
Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View—0
Diachronic word embeddings and semantic shifts: a survey—0
A General Framework for Detecting Metaphorical Collocations—0
An Exploratory Study on Temporally Evolving Discussion around Covid-19 using Diachronic Word Embeddings—0
Document-Level Machine Translation with Word Vector Models—0
Dialectograms: Machine Learning Differences between Discursive Communities—0
Dialects Identification of Armenian Language—0
Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases—0
Dialog State Tracking: A Neural Reading Comprehension Approach—0
Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network—0
Dialogue Session Segmentation by Embedding-Enhanced TextTiling—0
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis—0
DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings—0
DICoE@FinSim-3: Financial Hypernym Detection using Augmented Terms and Distance-based Features—0
Bias in word embeddings—0
An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods—0
D-Graph: AI-Assisted Design Concept Exploration Graph—0
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities—0
Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring—0
Different Contexts Lead to Different Word Embeddings—0
Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe—0
Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe—0
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder—0
Differential Privacy and Natural Language Processing to Generate Contextually Similar Decoy Messages in Honey Encryption Scheme—0
Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models—0
DLRG@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil using Multilingual Transformer Models—0
Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection—0
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings—0
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings—0
Disambiguated skip-gram model—0
DFKI-MLT System Description for the WMT18 Automatic Post-editing Task—0
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