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 1476–1500 of 4002 papers

TitleStatusHype
Comparison of Representations of Named Entities for Document Classification—0
Comparison of Paragram and GloVe Results for Similarity Benchmarks—0
Assessing Polyseme Sense Similarity through Co-predication Acceptability and Contextualised Embedding Distance—0
A multi-level approach for hierarchical Ticket Classification—0
A Deep Fusion Model for Domain Adaptation in Phrase-based MT—0
Comparison between Voting Classifier and Deep Learning methods for Arabic Dialect Identification—0
Comparing Word Representations for Implicit Discourse Relation Classification—0
Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media—0
Comparing the Performance of Feature Representations for the Categorization of the Easy-to-Read Variety vs Standard Language—0
Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine—0
ASR error management for improving spoken language understanding—0
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis—0
Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation—0
AsPOS: Assamese Part of Speech Tagger using Deep Learning Approach—0
Comparing Performance of Different Linguistically-Backed Word Embeddings for Cyberbullying Detection—0
Comparing in context: Improving cosine similarity measures with a metric tensor—0
A multilabel approach to morphosyntactic probing—0
A Deeper Look into Dependency-Based Word Embeddings—0
A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping—0
A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models—0
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification—0
Comparing Contextual and Static Word Embeddings with Small Data—0
Aspect-Based Sentiment Analysis Using Bitmask Bidirectional Long Short Term Memory Networks—0
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition—0
Comparing Approaches for Automatic Question Identification—0
Show:102550
← PrevPage 60 of 161Next →

No leaderboard results yet.