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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 301–350 of 4002 papers

TitleStatusHype
Language Models Implement Simple Word2Vec-style Vector ArithmeticCode1
Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages—0
Detecting and Mitigating Indirect Stereotypes in Word Embeddings—0
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine TranslationCode0
ChatGPT-EDSS: Empathetic Dialogue Speech Synthesis Trained from ChatGPT-derived Context Word Embeddings—0
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic SegmentationCode1
Probing Brain Context-Sensitivity with Masked-Attention Generation—0
Word Embeddings Are Steers for Language ModelsCode1
Measuring Intersectional Biases in Historical DocumentsCode0
Controllable Speaking Styles Using a Large Language Model—0
A quantitative study of NLP approaches to question difficulty estimationCode0
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language ModelsCode0
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic ModelingCode0
Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance—0
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of ImagesCode0
Multi-Relational Hyperbolic Word Embeddings from Natural Language DefinitionsCode0
LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM—0
Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched DataCode0
Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework—0
Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings?Code0
Analyzing Vietnamese Legal Questions Using Deep Neural Networks with Biaffine ClassifiersCode0
Semantic Frame Induction with Deep Metric Learning—0
Transcending the "Male Code": Implicit Masculine Biases in NLP Contexts—0
Word Sense Induction with Knowledge Distillation from BERT—0
Multilingual Query-by-Example Keyword Spotting with Metric Learning and Phoneme-to-Embedding Mapping—0
New Product Development (NPD) through Social Media-based Analysis by Comparing Word2Vec and BERT Word Embeddings—0
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition—0
SimpLex: a lexical text simplification architectureCode0
Towards preserving word order importance through Forced InvalidationCode0
Investigating Graph Structure Information for Entity Alignment with Dangling Cases—0
On Evaluation of Bangla Word Analogies—0
Deep Learning for Opinion Mining and Topic Classification of Course Reviews—0
Affect as a proxy for literary mood—0
PWESuite: Phonetic Word Embeddings and Tasks They FacilitateCode1
Learning to Name Classes for Vision and Language Models—0
A Survey on Contextualised Semantic Shift DetectionCode0
Automatic Generation of Multiple-Choice Questions—0
CTRAN: CNN-Transformer-based Network for Natural Language UnderstandingCode1
Addressing Biases in the Texts using an End-to-End Pipeline Approach—0
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein ProblemCode0
Classifying Text-Based Conspiracy Tweets related to COVID-19 using Contextualized Word Embeddings—0
LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph GenerationCode1
Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area—0
Deep learning model for Mongolian Citizens Feedback Analysis using Word Vector Embeddings—0
SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation PurposesCode1
RETVec: Resilient and Efficient Text VectorizerCode2
Exploring Category Structure with Contextual Language Models and Lexical Semantic Networks—0
Evaluation of Word Embeddings for the Social Sciences—0
Dialectograms: Machine Learning Differences between Discursive Communities—0
Zero-Shot Learning for Requirements Classification: An Exploratory StudyCode0
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