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 1901–1925 of 4002 papers

TitleStatusHype
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector SpacesCode0
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary InductionCode0
A Robust Hybrid Approach for Textual Document ClassificationCode0
Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classificationCode0
Retrofitting Contextualized Word Embeddings with Paraphrases—0
Query Obfuscation Semantic Decomposition—0
Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings—0
Hope Speech Detection: A Computational Analysis of the Voice of Peace—0
Multimodal Embeddings from Language ModelsCode0
Definition Frames: Using Definitions for Hybrid Concept RepresentationsCode0
Composing Knowledge Graph Embeddings via Word Embeddings—0
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More CitationsCode0
Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?—0
Distributed Training of Embeddings using Graph Analytics—0
Specializing Unsupervised Pretraining Models for Word-Level Semantic SimilarityCode0
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank—0
Fusing Vector Space Models for Domain-Specific Applications—0
Examining Gender Bias in Languages with Grammatical GenderCode0
Semantics-aware BERT for Language UnderstandingCode0
Empirical Study of Diachronic Word Embeddings for Scarce Data—0
Differentiable Disentanglement Filter: an Application Agnostic Core Concept Discovery Probe—0
Affect Enriched Word Embeddings for News Information Retrieval—0
Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRFCode0
Interpretable Word Embeddings via Informative Priors—0
On the Downstream Performance of Compressed Word EmbeddingsCode0
Show:102550
← PrevPage 77 of 161Next →

No leaderboard results yet.