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 651–675 of 4002 papers

TitleStatusHype
Decision-Directed Data DecompositionCode0
Deep convolutional acoustic word embeddings using word-pair side informationCode0
Deep Learning for Hate Speech Detection in TweetsCode0
Building Sequential Inference Models for End-to-End Response SelectionCode0
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble LearningCode0
Encoding Category Trees Into Word-Embeddings Using Geometric ApproachCode0
BULNER: BUg Localization with word embeddings and NEtwork RegularizationCode0
End-to-End Neural Ad-hoc Ranking with Kernel PoolingCode0
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian LanguagesCode0
Debiasing Sentence Embedders through Contrastive Word PairsCode0
Enhanced word embeddings using multi-semantic representation through lexical chainsCode0
Enhancing biomedical word embeddings by retrofitting to verb clustersCode0
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisCode0
Enriching Word Vectors with Subword InformationCode0
Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performanceCode0
Can We Use Word Embeddings for Enhancing Guarani-Spanish Machine Translation?Code0
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social MediaCode0
ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion DetectionCode0
Evaluating Biased Attitude Associations of Language Models in an Intersectional ContextCode0
CARER: Contextualized Affect Representations for Emotion RecognitionCode0
Gender-preserving Debiasing for Pre-trained Word EmbeddingsCode0
Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classificationCode0
Evaluating Unsupervised Dutch Word Embeddings as a Linguistic ResourceCode0
Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name TypingCode0
Debiasing Convolutional Neural Networks via Meta OrthogonalizationCode0
Show:102550
← PrevPage 27 of 161Next →

No leaderboard results yet.