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 1851–1875 of 4002 papers

TitleStatusHype
Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation—0
Improving Twitter Sentiment Classification via Multi-Level Sentiment-Enriched Word Embeddings—0
Improving Vector Space Word Representations Using Multilingual Correlation—0
Improving Verb Metaphor Detection by Propagating Abstractness to Words, Phrases and Individual Senses—0
Des pseudo-sens pour am\'eliorer l'extraction de synonymes \`a partir de plongements lexicaux (Pseudo-senses for improving the extraction of synonyms from word embeddings)—0
Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models—0
Improving Word Embeddings Using Kernel PCA—0
Designing a Russian Idiom-Annotated Corpus—0
Improving Word Representations via Global Context and Multiple Word Prototypes—0
BERTrade: Using Contextual Embeddings to Parse Old French—0
BERTMap: A BERT-based Ontology Alignment System—0
Improving Zero Shot Learning Baselines with Commonsense Knowledge—0
Describing Images using Inferred Visual Dependency Representations—0
A Neurobiologically Motivated Analysis of Distributional Semantic Models—0
INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter—0
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition—0
In-Context Former: Lightning-fast Compressing Context for Large Language Model—0
Incorporating Context into Language Encoding Models for fMRI—0
Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings—0
Author Profiling from Facebook Corpora—0
Incorporating Relational Knowledge into Word Representations using Subspace Regularization—0
Cross-lingual Embeddings Reveal Universal and Lineage-Specific Patterns in Grammatical Gender Assignment—0
Incorporating Sub-Word Level Information in Language Invariant Neural Event Detection—0
Incorporating visual features into word embeddings: A bimodal autoencoder-based approach—0
Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings—0
Show:102550
← PrevPage 75 of 161Next →

No leaderboard results yet.