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 1576–1600 of 4002 papers

TitleStatusHype
Finely Tuned, 2 Billion Token Based Word Embeddings for Portuguese—0
BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets—0
Fine-tuning BERT to classify COVID19 tweets containing symptoms—0
Detecting Cybersecurity Events from Noisy Short Text—0
Ask the GRU: Multi-Task Learning for Deep Text Recommendations—0
Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis—0
Community Evaluation and Exchange of Word Vectors at wordvectors.org—0
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell—0
First Bilingual Word Embeddings for te reo Māori and English: Towards Code-switching Detection in a Low-resourced setting—0
Fitting Semantic Relations to Word Embeddings—0
FKIE_itf_2021 at CASE 2021 Task 1: Using Small Densely Fully Connected Neural Nets for Event Detection and Clustering—0
A New Approach to Animacy Detection—0
Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems—0
Self-supervised audio representation learning for mobile devices—0
FlorUniTo@TRAC-2: Retrofitting Word Embeddings on an Abusive Lexicon for Aggressive Language Detection—0
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings—0
Focusing Knowledge-based Graph Argument Mining via Topic Modeling—0
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition—0
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines—0
Comparing Contextual and Static Word Embeddings with Small Data—0
Aspect-Based Sentiment Analysis Using Bitmask Bidirectional Long Short Term Memory Networks—0
FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain—0
Detecting Cross-Lingual Plagiarism Using Simulated Word Embeddings—0
French Contextualized Word-Embeddings with a sip of CaBeRnet: a New French Balanced Reference Corpus—0
BERT's Conceptual Cartography: Mapping the Landscapes of Meaning—0
Show:102550
← PrevPage 64 of 161Next →

No leaderboard results yet.