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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 1201–1225 of 4002 papers

TitleStatusHype
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity AnalysisCode0
Argument from Old Man's View: Assessing Social Bias in ArgumentationCode0
Neural Text Classification by Jointly Learning to Cluster and Align—0
Advancing Humor-Focused Sentiment Analysis through Improved Contextualized Embeddings and Model Architecture—0
Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text—0
DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsCode0
Sensing Ambiguity in Henry James' "The Turn of the Screw"Code0
A semi-supervised model for Persian rumor verification based on content information—0
Self-Supervised learning with cross-modal transformers for emotion recognition—0
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLPCode1
Topology of Word Embeddings: Singularities Reflect Polysemy—0
Argumentative Topology: Finding Loop(holes) in Logic—0
Debiasing Convolutional Neural Networks via Meta OrthogonalizationCode0
Learning language variations in news corpora through differential embeddingsCode0
Deconstructing word embedding algorithms—0
Exploring the Value of Personalized Word Embeddings—0
Multilingual Irony Detection with Dependency Syntax and Neural ModelsCode0
Automated Discovery of Mathematical Definitions in Text with Deep Neural Networks—0
Positional Artefacts Propagate Through Masked Language Model Embeddings—0
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesCode1
QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian—0
Learning Efficient Task-Specific Meta-Embeddings with Word PrismsCode0
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation—0
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings—0
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