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 2301–2325 of 4002 papers

TitleStatusHype
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space ModelCode0
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis of Short and Informal Messages on Social Media—0
Categorical Metadata Representation for Customized Text ClassificationCode0
Wasserstein Barycenter Model EnsemblingCode0
Word embeddings for idiolect identification—0
Humor in Word Embeddings: Cockamamie Gobbledegook for NincompoopsCode0
Multi-task Learning for Target-dependent Sentiment ClassificationCode0
Word Embeddings for Entity-annotated TextsCode0
Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey—0
Understanding Composition of Word Embeddings via Tensor DecompositionCode0
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases—0
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some MisconceptionsCode0
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings—0
Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements—0
No Training Required: Exploring Random Encoders for Sentence ClassificationCode0
Analogies Explained: Towards Understanding Word Embeddings—0
Evaluating Word Embedding Models: Methods and Experimental Results—0
Word Embeddings: A Survey—0
MORTY Embedding: Improved Embeddings without Supervision—0
Context-Sensitive Malicious Spelling Error Correction—0
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings TechniquesCode0
Deconstructing Word Embeddings—0
Vector representations of text data in deep learning—0
Team EP at TAC 2018: Automating data extraction in systematic reviews of environmental agents—0
Jabberwocky Parsing: Dependency Parsing with Lexical Noise—0
Show:102550
← PrevPage 93 of 161Next →

No leaderboard results yet.