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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

Showing 14511475 of 4002 papers

TitleStatusHype
A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments0
Compound Embedding Features for Semi-supervised Learning0
Compositional Morpheme Embeddings with Affixes as Functions and Stems as Arguments0
Astro-HEP-BERT: A bidirectional language model for studying the meanings of concepts in astrophysics and high energy physics0
A Multi-task Approach to Learning Multilingual Representations0
A Deep Learning Approach to Behavior-Based Learner Modeling0
Compositional Fusion of Signals in Data Embedding0
Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors0
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA0
Composing Word Vectors for Japanese Compound Words Using Bilingual Word Embeddings0
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases0
Composing Noun Phrase Vector Representations0
Composing Knowledge Graph Embeddings via Word Embeddings0
Component-Enhanced Chinese Character Embeddings0
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax0
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations0
A Deep Learning approach for Hindi Named Entity Recognition0
Complex Ontology Matching with Large Language Model Embeddings0
Complex networks based word embeddings0
Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP0
Complementary Strategies for Low Resourced Morphological Modeling0
Compiling a Highly Accurate Bilingual Lexicon by Combining Different Approaches0
Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets0
A Multimodal Approach towards Emotion Recognition of Music using Audio and Lyrical Content0
Comparison of Short-Text Sentiment Analysis Methods for Croatian0
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