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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
Variational Gaussian Topic Model with Invertible Neural Projections—0
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning—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
Evaluation Of Word Embeddings From Large-Scale French Web ContentCode0
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social MediaCode0
GraphTMT: Unsupervised Graph-based Topic Modeling from Video TranscriptsCode0
Large-scale Taxonomy Induction Using Entity and Word Embeddings—0
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
Deep Clustering with Measure Propagation—0
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables—0
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings—0
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine TranslationCode0
A multilabel approach to morphosyntactic probing—0
Multi-source Neural Topic Modeling in Multi-view Embedding SpacesCode0
Embodying Pre-Trained Word Embeddings Through Robot Actions—0
Frequency-based Distortions in Contextualized Word Embeddings—0
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual TasksCode0
Word2rate: training and evaluating multiple word embeddings as statistical transitions—0
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task TrainingCode0
UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction—0
[RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias MitigationCode0
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders—0
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based ApproachCode0
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
Statistically significant detection of semantic shifts using contextual word embeddings—0
Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives—0
Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification—0
Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings—0
The Chinese Remainder Theorem for Compact, Task-Precise, Efficient and Secure Word Embeddings—0
Semantic-aware transformation of short texts using word embeddings: An application in the Food Computing domain—0
Evaluating Neural Word Embeddings for SanskritCode0
Eliciting Explicit Knowledge From Domain Experts in Direct Intrinsic Evaluation of Word Embeddings for Specialized DomainsCode0
Cross-Lingual Transfer Learning for Hate Speech Detection—0
Exploiting Position and Contextual Word Embeddings for Keyphrase Extraction from Scientific Papers—0
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding—0
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