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 1951–1975 of 4002 papers

TitleStatusHype
Are Word Embedding-based Features Useful for Sarcasm Detection?—0
Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts—0
Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings—0
Investigating Gender Bias in BERT—0
Event Detection Using Frame-Semantic Parser—0
Investigating Language Universal and Specific Properties in Word Embeddings—0
Investigating neural architectures for short answer scoring—0
Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian—0
Classifying Text-Based Conspiracy Tweets related to COVID-19 using Contextualized Word Embeddings—0
Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention—0
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction—0
Evaluation of Word Embeddings for the Social Sciences—0
Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks—0
Evaluation of Taxonomy Enrichment on Diachronic WordNet Versions—0
Evaluation of Stacked Embeddings for Bulgarian on the Downstream Tasks POS and NERC—0
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics—0
Classifying Out-of-vocabulary Terms in a Domain-Specific Social Media Corpus—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
Evaluation of Question Answering Systems: Complexity of judging a natural language—0
Evaluation of Morphological Embeddings for the Russian Language—0
Evaluation of Greek Word Embeddings—0
Is there Gender bias and stereotype in Portuguese Word Embeddings?—0
Is ``Universal Syntax'' Universally Useful for Learning Distributed Word Representations?—0
ISWARA at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets using BERT and FastText Embeddings—0
Classification of Micro-Texts Using Sub-Word Embeddings—0
Show:102550
← PrevPage 79 of 161Next →

No leaderboard results yet.