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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 801–825 of 4002 papers

TitleStatusHype
Contrastive Word Embedding Learning for Neural Machine Translation—0
Gender Roles from Word Embeddings in a Century of Children’s Books—0
Task-adaptive Pre-training of Language Models with Word Embedding Regularization—0
Revisiting Tri-training of Dependency ParsersCode0
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification—0
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus—0
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme ClassificationCode0
Assessing the Reliability of Word Embedding Gender Bias MeasuresCode0
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous GraphCode1
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
ArGoT: A Glossary of Terms extracted from the arXiv—0
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case—0
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining—0
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words ExtractionCode0
Automatic Transformation of Clinical Narratives into Structured Format—0
Syntax-aware Transformers for Neural Machine Translation: The Case of Text to Sign Gloss TranslationCode0
A Deep Learning System for Automatic Extraction of Typological Linguistic Information from Descriptive Grammars—0
Abstractive Document Summarization with Word Embedding Reconstruction—0
Bilingual Terminology Extraction Using Neural Word Embeddings on Comparable Corpora—0
Multilingual Learning for Mild Cognitive Impairment Screening from a Clinical Speech Task—0
Word Discriminations for Vocabulary Inventory PredictionCode0
Event Prominence Extraction Combining a Knowledge-Based Syntactic Parser and a BERT Classifier for Dutch—0
Apples to Apples: A Systematic Evaluation of Topic ModelsCode1
Siamese Networks for Inference in Malayalam Language Texts—0
The Impact of Word Embeddings on Neural Dependency Parsing—0
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