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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 351–375 of 4002 papers

TitleStatusHype
Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of SentencesCode1
Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities—0
Machine Translation for Accessible Multi-Language Text Analysis—0
Language Embeddings Sometimes Contain Typological GeneralizationsCode0
News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand—0
The 2022 n2c2/UW Shared Task on Extracting Social Determinants of HealthCode0
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddingsCode0
Online Fake Review Detection Using Supervised Machine Learning And BERT Model—0
Analyzing the Representational Geometry of Acoustic Word Embeddings—0
Supervised Acoustic Embeddings And Their Transferability Across LanguagesCode0
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word EmbeddingsCode0
Using meaning instead of words to track topics—0
TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence—0
Text classification in shipping industry using unsupervised models and Transformer based supervised models—0
Norm of Word Embedding Encodes Information Gain—0
Exploring Interpretability of Independent Components of Word Embeddings with Automated Word Intruder Test—0
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?Code0
Multi hash embeddings in spaCyCode0
The effects of gender bias in word embeddings on depression prediction—0
ReDDIT: Regret Detection and Domain Identification from Text—0
AsPOS: Assamese Part of Speech Tagger using Deep Learning Approach—0
Explainability of Text Processing and Retrieval Methods: A Critical Survey—0
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of ContextsCode1
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language UnderstandingCode0
A Study of Slang Representation MethodsCode0
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