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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 14511500 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
Comparison of Representations of Named Entities for Document Classification0
Comparison of Paragram and GloVe Results for Similarity Benchmarks0
Assessing Polyseme Sense Similarity through Co-predication Acceptability and Contextualised Embedding Distance0
A multi-level approach for hierarchical Ticket Classification0
A Deep Fusion Model for Domain Adaptation in Phrase-based MT0
Comparison between Voting Classifier and Deep Learning methods for Arabic Dialect Identification0
Comparing Word Representations for Implicit Discourse Relation Classification0
Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media0
Comparing the Performance of Feature Representations for the Categorization of the Easy-to-Read Variety vs Standard Language0
Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine0
ASR error management for improving spoken language understanding0
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis0
Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation0
AsPOS: Assamese Part of Speech Tagger using Deep Learning Approach0
Comparing Performance of Different Linguistically-Backed Word Embeddings for Cyberbullying Detection0
Comparing in context: Improving cosine similarity measures with a metric tensor0
A multilabel approach to morphosyntactic probing0
A Deeper Look into Dependency-Based Word Embeddings0
A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping0
A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models0
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification0
Comparing Contextual and Static Word Embeddings with Small Data0
Aspect-Based Sentiment Analysis Using Bitmask Bidirectional Long Short Term Memory Networks0
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition0
Comparing Approaches for Automatic Question Identification0
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