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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 501–550 of 4002 papers

TitleStatusHype
Interpretable Neural Embeddings with Sparse Self-Representation—0
Constructing Colloquial Dataset for Persian Sentiment Analysis of Social MicroblogsCode0
Semi-automated extraction of research topics and trends from NCI funding in radiological sciences from 2000-2020—0
A Bayesian approach to uncertainty in word embedding bias estimation—0
Contrastive Loss is All You Need to Recover Analogies as Parallel LinesCode0
Does mBERT understand Romansh? Evaluating word embeddings using word alignmentCode0
"Definition Modeling: To model definitions." Generating Definitions With Little to No Semantics—0
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts—0
Enhancing Topic Extraction in Recommender Systems with Entropy Regularization—0
Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and SiswatiCode0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses—0
Leverage Points in Modality Shifts: Comparing Language-only and Multimodal Word RepresentationsCode0
Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling—0
Word Embeddings for Banking Industry—0
Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili—0
Research on Multilingual News Clustering Based on Cross-Language Word Embeddings—0
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation—0
A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding SpacesCode0
Not wacky vs. definitely wacky: A study of scalar adverbs in pretrained language models—0
Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages—0
Probing Brain Context-Sensitivity with Masked-Attention Generation—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
Detecting and Mitigating Indirect Stereotypes in Word Embeddings—0
Measuring Intersectional Biases in Historical DocumentsCode0
A quantitative study of NLP approaches to question difficulty estimationCode0
Controllable Speaking Styles Using a Large Language Model—0
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic ModelingCode0
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language ModelsCode0
Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance—0
Multi-Relational Hyperbolic Word Embeddings from Natural Language DefinitionsCode0
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of ImagesCode0
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
A Survey on Contextualised Semantic Shift DetectionCode0
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