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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 151–200 of 4002 papers

TitleStatusHype
DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence ModelingCode1
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like BiasesCode1
“Did you really mean what you said?” : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word EmbeddingsCode1
DiffEditor: Enhancing Speech Editing with Semantic Enrichment and Acoustic ConsistencyCode1
Discovering and Categorising Language Biases in RedditCode1
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic LanguagesCode1
Disentangling Visual Embeddings for Attributes and ObjectsCode1
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias MitigationCode1
Embarrassingly Simple Unsupervised Aspect ExtractionCode1
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social MediaCode1
Emotion-Aware Transformer Encoder for Empathetic Dialogue GenerationCode1
Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding LossCode1
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language ModelsCode1
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word EmbeddingsCode1
FastText.zip: Compressing text classification modelsCode1
A Source-Criticism Debiasing Method for GloVe EmbeddingsCode1
Brain2Word: Decoding Brain Activity for Language GenerationCode1
Gender Bias in Contextualized Word EmbeddingsCode1
Going Beyond T-SNE: Exposing whatlies in Text EmbeddingsCode1
Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really NecessaryCode1
ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-trainingCode1
GREEK-BERT: The Greeks visiting Sesame StreetCode1
HJ-Ky-0.1: an Evaluation Dataset for Kyrgyz Word EmbeddingsCode1
Homophone Reveals the Truth: A Reality Check for Speech2VecCode1
ALL-IN-1: Short Text Classification with One Model for All LanguagesCode1
Zero-Shot Semantic SegmentationCode1
All Word Embeddings from One EmbeddingCode1
Improving Bilingual Lexicon Induction with Cross-Encoder RerankingCode1
Improving word mover's distance by leveraging self-attention matrixCode1
Improving Word Translation via Two-Stage Contrastive LearningCode1
Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little CostCode1
Imputing Out-of-Vocabulary Embeddings with LOVE Makes LanguageModels Robust with Little CostCode1
iNLTK: Natural Language Toolkit for Indic LanguagesCode1
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited DataCode1
IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words and Their Semantic RepresentationsCode1
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for TopicsCode1
Keyword-Guided Neural Conversational ModelCode1
Corrected CBOW Performs as well as Skip-gramCode1
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense DisambiguationCode1
Language Models Implement Simple Word2Vec-style Vector ArithmeticCode1
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot LearningCode1
LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse DictionaryCode1
GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph KnowledgeCode1
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fatCode1
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic SegmentationCode1
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language ModelsCode1
Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion RecognitionCode1
MorphTE: Injecting Morphology in Tensorized EmbeddingsCode1
Multilingual Jointly Trained Acoustic and Written Word EmbeddingsCode1
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection TaskCode1
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