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 2701–2725 of 4002 papers

TitleStatusHype
WEAC: Word embeddings for anomaly classification from event logs—0
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings—0
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection—0
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings—0
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models—0
Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels—0
WEmbSim: A Simple yet Effective Metric for Image Captioning—0
What Analogies Reveal about Word Vectors and their Compositionality—0
What are the biases in my word embedding?—0
What can you do with a rock? Affordance extraction via word embeddings—0
What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris—0
What does Neural Bring? Analysing Improvements in Morphosyntactic Annotation and Lemmatisation of Slovenian, Croatian and Serbian—0
What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition—0
What do we need to know about an unknown word when parsing German—0
What do you mean, BERT? Assessing BERT as a Distributional Semantics Model—0
What makes multilingual BERT multilingual?—0
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes—0
What's in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation—0
What's in Your Embedding, And How It Predicts Task Performance—0
What the Vec? Towards Probabilistically Grounded Embeddings—0
When Hyperparameters Help: Beneficial Parameter Combinations in Distributional Semantic Models—0
When Polysemy Matters: Modeling Semantic Categorization with Word Embeddings—0
When Specialization Helps: Using Pooled Contextualized Embeddings to Detect Chemical and Biomedical Entities in Spanish—0
When Word Embeddings Become Endangered—0
Where exactly does contextualization in a PLM happen?—0
Show:102550
← PrevPage 109 of 161Next →

No leaderboard results yet.