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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 3701–3750 of 4002 papers

TitleStatusHype
The Global Anchor Method for Quantifying Linguistic Shifts and Domain AdaptationCode0
LINSPECTOR: Multilingual Probing Tasks for Word RepresentationsCode0
LINSPECTOR WEB: A Multilingual Probing Suite for Word RepresentationsCode0
SHOMA at Parseme Shared Task on Automatic Identification of VMWEs: Neural Multiword Expression Tagging with High GeneralisationCode0
Shortcut-Stacked Sentence Encoders for Multi-Domain InferenceCode0
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word EmbeddingsCode0
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove ThemCode0
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words ExtractionCode0
A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical AttentionCode0
The Cinderella Complex: Word Embeddings Reveal ender Stereotypes in Movies and BooksCode0
Should All Cross-Lingual Embeddings Speak English?Code0
Living Machines: A study of atypical animacyCode0
LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration MemoryCode0
Baselines and test data for cross-lingual inferenceCode0
Siamese CBOW: Optimizing Word Embeddings for Sentence RepresentationsCode0
Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence modelsCode0
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly ApplicableCode0
Word Embeddings for the Construction DomainCode0
The Interplay of Semantics and Morphology in Word EmbeddingsCode0
Word Mover's Embedding: From Word2Vec to Document EmbeddingCode0
Factors Influencing the Surprising Instability of Word EmbeddingsCode0
CILex: An Investigation of Context Information for Lexical Substitution MethodsCode0
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding GenerationCode0
Fair is Better than Sensational:Man is to Doctor as Woman is to DoctorCode0
UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise FeaturesCode0
Local Word Vectors Guiding Keyphrase ExtractionCode0
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution.Code0
Fast and Robust Comparison of Probability Measures in Heterogeneous SpacesCode0
The Lifted Matrix-Space Model for Semantic CompositionCode0
Churn Intent Detection in Multilingual Chatbot Conversations and Social MediaCode0
The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical NotesCode0
The Limitations of Cross-language Word Embeddings EvaluationCode0
ChatGPT-guided Semantics for Zero-shot LearningCode0
A Causal Inference Method for Reducing Gender Bias in Word Embedding RelationsCode0
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary InductionCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain ResponsesCode0
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling MechanismsCode0
A Hierarchically-Labeled Portuguese Hate Speech DatasetCode0
Pretrained Transformers for Simple Question Answering over Knowledge GraphsCode0
Simple and Effective Dimensionality Reduction for Word EmbeddingsCode0
An embedded segmental K-means model for unsupervised segmentation and clustering of speechCode0
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word EmbeddingsCode0
Few-shot Learning for Named Entity Recognition in Medical TextCode0
Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated SolutionCode0
Few-Shot Representation Learning for Out-Of-Vocabulary WordsCode0
Few-Shot Text Classification with Pre-Trained Word Embeddings and a Human in the LoopCode0
A Semi-supervised Framework for Image CaptioningCode0
Ultradense Word Embeddings by Orthogonal TransformationCode0
Analyzing the Surprising Variability in Word Embedding Stability Across LanguagesCode0
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