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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

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Showing 1301–1325 of 4002 papers

TitleStatusHype
MultiVitaminBooster at PARSEME Shared Task 2020: Combining Window- and Dependency-Based Features with Multilingual Contextualised Word Embeddings for VMWE Detection—0
Joint Training for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora—0
Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages—0
MineriaUNAM at SemEval-2020 Task 3: Predicting Contextual WordSimilarity Using a Centroid Based Approach and Word Embeddings—0
Multimodal Review Generation with Privacy and Fairness AwarenessCode0
DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings—0
BhamNLP at SemEval-2020 Task 12: An Ensemble of Different Word Embeddings and Emotion Transfer Learning for Arabic Offensive Language Identification in Social Media—0
SMM4H Shared Task 2020 - A Hybrid Pipeline for Identifying Prescription Drug Abuse from Twitter: Machine Learning, Deep Learning, and Post-Processing—0
Towards Augmenting Lexical Resources for Slang and African American English—0
BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation—0
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity AnalysisCode0
Demonstration of a Literature Based Discovery System based on Ontologies, Semantic Filters and Word Embeddings for the Raynaud Disease-Fish Oil Rediscovery—0
NTUAAILS at SemEval-2020 Task 11: Propaganda Detection and Classification with biLSTMs and ELMo—0
Graph-based Syntactic Word Embeddings—0
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings—0
Blind signal decomposition of various word embeddings based on join and individual variance explained—0
A Deep Content-Based Model for Persian Rumor Verification—0
Unsupervised Word Translation Pairing using Refinement based Point Set Registration—0
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space—0
Improving Biomedical Named Entity Recognition with Syntactic InformationCode0
Neural Text Classification by Jointly Learning to Cluster and Align—0
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity AnalysisCode0
Argument from Old Man's View: Assessing Social Bias in ArgumentationCode0
Acoustic span embeddings for multilingual query-by-example searchCode0
Advancing Humor-Focused Sentiment Analysis through Improved Contextualized Embeddings and Model Architecture—0
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