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 2451–2475 of 4002 papers

TitleStatusHype
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning—0
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation—0
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations—0
Modeling Input Uncertainty in Neural Network Dependency ParsingCode0
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings—0
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data—0
Quantifying Context Overlap for Training Word Embeddings—0
Unsupervised Bilingual Lexicon Induction via Latent Variable Models—0
A Framework for Understanding the Role of Morphology in Universal Dependency Parsing—0
Synthetic Data Made to Order: The Case of ParsingCode0
Syntax Encoding with Application in Authorship Attribution—0
CARER: Contextualized Affect Representations for Emotion RecognitionCode0
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data—0
Word Embeddings for Code-Mixed Language Processing—0
Learning Unsupervised Word Translations Without Adversaries—0
How to represent a word and predict it, too: Improving tied architectures for language modelling—0
Streaming word similarity mining on the cheap—0
Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation—0
A Neural Local Coherence Model for Text Quality Assessment—0
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources—0
Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification—0
Auto-Encoding Dictionary Definitions into Consistent Word EmbeddingsCode0
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images—0
Siamese Network-Based Supervised Topic Modeling—0
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction—0
Show:102550
← PrevPage 99 of 161Next →

No leaderboard results yet.