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 1076–1100 of 4002 papers

TitleStatusHype
Experimental Evaluation of Deep Learning models for Marathi Text Classification—0
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data SetCode0
Evaluation of Deep Learning Models for Hostility Detection in Hindi Text—0
Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of TwitterCode0
Graph-of-Tweets: A Graph Merging Approach to Sub-event IdentificationCode0
Misspelling Correction with Pre-trained Contextual Language Model—0
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping—0
Political Depolarization of News Articles Using Attribute-aware Word Embeddings—0
Lex-BERT: Enhancing BERT based NER with lexicons—0
Text Document Clustering: Wordnet vs. TF-IDF vs. Word Embeddings—0
Evaluation of Taxonomy Enrichment on Diachronic WordNet Versions—0
Visual-Textual Attentive Semantic Consistency for Medical Report Generation—0
Kernel Methods in Hyperbolic Spaces—0
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide ImagesCode1
Key Phrase Extraction & Applause Prediction—0
WARP: Word-level Adversarial ReProgrammingCode1
Faster Training of Word Embeddings—0
Ruminating Word Representations with Random Noise Masking—0
Topic-aware Contextualized Transformers—0
Tracking the progress of Language Models by extracting their underlying Knowledge Graphs—0
Intrinsic Bias Metrics Do Not Correlate with Application Bias—0
Shortformer: Better Language Modeling using Shorter InputsCode1
Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings—0
Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring—0
Introducing Orthogonal Constraint in Structural ProbesCode0
Show:102550
← PrevPage 44 of 161Next →

No leaderboard results yet.