SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 951–1000 of 4002 papers

TitleStatusHype
Variational Gaussian Topic Model with Invertible Neural Projections—0
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning—0
Stance Detection with BERT Embeddings for Credibility Analysis of Information on Social Media—0
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial StudyCode0
An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource—0
KECRS: Towards Knowledge-Enriched Conversational Recommendation System—0
Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings—0
WOVe: Incorporating Word Order in GloVe Word Embeddings—0
Coming to its senses: Lessons learned from Approximating Retrofitted BERT representations for Word Sense information—0
Empirical Analysis of Image Caption Generation using Deep Learning—0
Multilingual Offensive Language Identification for Low-resource Languages—0
Playing Codenames with Language Graphs and Word EmbeddingsCode1
Evaluation Of Word Embeddings From Large-Scale French Web ContentCode0
GraphTMT: Unsupervised Graph-based Topic Modeling from Video TranscriptsCode0
Large-scale Taxonomy Induction Using Entity and Word Embeddings—0
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social MediaCode0
Impact of Gender Debiased Word Embeddings in Language Modeling—0
Learning to Lemmatize in the Word Representation Space—0
Cross-lingual hate speech detection based on multilingual domain-specific word embeddings—0
Mitigating Political Bias in Language Models Through Reinforced Calibration—0
A Bi-Encoder LSTM Model For Learning Unstructured DialogsCode0
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP—0
Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word EmbeddingsCode0
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings—0
Deep Clustering with Measure Propagation—0
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables—0
Frequency-based Distortions in Contextualized Word Embeddings—0
A multilabel approach to morphosyntactic probing—0
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine TranslationCode0
Multi-source Neural Topic Modeling in Multi-view Embedding SpacesCode0
Embodying Pre-Trained Word Embeddings Through Robot Actions—0
Word2rate: training and evaluating multiple word embeddings as statistical transitions—0
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual TasksCode0
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task TrainingCode0
[RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias MitigationCode0
UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction—0
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based ApproachCode0
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders—0
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
The DKU System Description for The Interspeech 2021 Auto-KWS Challenge—0
Object Priors for Classifying and Localizing Unseen ActionsCode0
FreSaDa: A French Satire Data Set for Cross-Domain Satire DetectionCode0
Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives—0
Probing BERT in Hyperbolic SpacesCode1
Statistically significant detection of semantic shifts using contextual word embeddings—0
Revisiting Simple Neural Probabilistic Language ModelsCode1
Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification—0
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word RepresentationsCode1
Query2Prod2Vec Grounded Word Embeddings for eCommerceCode1
Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings—0
Show:102550
← PrevPage 20 of 81Next →

No leaderboard results yet.