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 2776–2800 of 4002 papers

TitleStatusHype
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings—0
UMDuluth-CS8761 at SemEval-2018 Task 9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings—0
Lifelong Domain Word Embedding via Meta-LearningCode0
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling MechanismsCode0
Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques—0
Scoring Lexical Entailment with a Supervised Directional Similarity NetworkCode0
How much does a word weigh? Weighting word embeddings for word sense induction—0
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across LanguagesCode0
Aff2Vec: Affect--Enriched Distributional Word Representations—0
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token EncodingsCode0
Sentence Modeling via Multiple Word Embeddings and Multi-level Comparison for Semantic Textual Similarity—0
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces—0
Unsupervised Learning of Style-sensitive Word Vectors—0
Simplifying Sentences with Sequence to Sequence Models—0
Effects of Word Embeddings on Neural Network-based Pitch Accent Detection—0
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular MaximizationCode0
Analogical Reasoning on Chinese Morphological and Semantic RelationsCode0
New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations—0
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake—0
Domain Adapted Word Embeddings for Improved Sentiment ClassificationCode0
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings—0
Adversarial Contrastive Estimation—0
Incorporating Subword Information into Matrix Factorization Word EmbeddingsCode0
Russian word sense induction by clustering averaged word embeddingsCode0
A Rank-Based Similarity Metric for Word Embeddings—0
Show:102550
← PrevPage 112 of 161Next →

No leaderboard results yet.