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 3076–3100 of 4002 papers

TitleStatusHype
IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features—0
MEANT 2.0: Accurate semantic MT evaluation for any output language—0
The strange geometry of skip-gram with negative sampling—0
A Question Answering Approach for Emotion Cause Extraction—0
Deriving continous grounded meaning representations from referentially structured multimodal contexts—0
Refining Word Embeddings for Sentiment Analysis—0
VecShare: A Framework for Sharing Word Representation Vectors—0
Identifying attack and support argumentative relations using deep learning—0
Inter-Weighted Alignment Network for Sentence Pair Modeling—0
Dict2vec : Learning Word Embeddings using Lexical DictionariesCode0
Adapting Topic Models using Lexical Associations with Tree Priors—0
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings—0
Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components—0
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources—0
Deeper Attention to Abusive User Content Moderation—0
Word Re-Embedding via Manifold Dimensionality Retention—0
Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction—0
Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment SupervisionCode0
Towards a Universal Sentiment Classifier in Multiple languages—0
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis—0
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model—0
Word-Context Character Embeddings for Chinese Word Segmentation—0
Exploiting Morphological Regularities in Distributional Word Representations—0
Predicting Word Association Strengths—0
Distinguishing Japanese Non-standard Usages from Standard Ones—0
Show:102550
← PrevPage 124 of 161Next →

No leaderboard results yet.