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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 3901–3950 of 4002 papers

TitleStatusHype
Time-Aware Word Embeddings for Three Lebanese News ArchivesCode0
Understanding Visual Concepts Across ModelsCode0
Can We Use Word Embeddings for Enhancing Guarani-Spanish Machine Translation?Code0
Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for CodeCode0
Hierarchical Meta-Embeddings for Code-Switching Named Entity RecognitionCode0
Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self AttentionCode0
A Latent Variable Model Approach to PMI-based Word EmbeddingsCode0
HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic AnalysisCode0
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity AnalysisCode0
Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performanceCode0
C-3MA: Tartu-Riga-Zurich Translation Systems for WMT17Code0
Modeling Input Uncertainty in Neural Network Dependency ParsingCode0
HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context RepresentationsCode0
How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument StructureCode0
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 EmbeddingsCode0
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity AnalysisCode0
Analytical Methods for Interpretable Ultradense Word EmbeddingsCode0
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon InductionCode0
How does BERT capture semantics? A closer look at polysemous wordsCode0
How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?Code0
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract ScenesCode0
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word EmbeddingsCode0
How Gender and Skin Tone Modifiers Affect Emoji Semantics in TwitterCode0
RAW-C: Relatedness of Ambiguous Words--in Context (A New Lexical Resource for English)Code0
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference ResolutionCode0
Sparse Victory -- A Large Scale Systematic Comparison of count-based and prediction-based vectorizers for text classificationCode0
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual TasksCode0
A Bi-Encoder LSTM Model For Learning Unstructured DialogsCode0
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble LearningCode0
Specialising Word Vectors for Lexical EntailmentCode0
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasksCode0
How to Evaluate Word Representations of Informal Domain?Code0
How to Generate a Good Word Embedding?Code0
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some MisconceptionsCode0
Specializing Word Embeddings (for Parsing) by Information BottleneckCode0
How to Train good Word Embeddings for Biomedical NLPCode0
Modelling Salient Features as Directions in Fine-Tuned Semantic SpacesCode0
Word Embeddings Are Capable of Capturing Rhythmic Similarity of WordsCode0
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
Humor in Word Embeddings: Cockamamie Gobbledegook for NincompoopsCode0
An Embedded Diachronic Sense Change Model with a Case Study from Ancient GreekCode0
Model Transfer for Tagging Low-resource Languages using a Bilingual DictionaryCode0
BULNER: BUg Localization with word embeddings and NEtwork RegularizationCode0
Building Sequential Inference Models for End-to-End Response SelectionCode0
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word EmbeddingsCode0
SPINE: SParse Interpretable Neural EmbeddingsCode0
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?Code0
MoNoise: Modeling Noise Using a Modular Normalization SystemCode0
Monolingual and Parallel Corpora for Kangri Low Resource LanguageCode0
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network ModelsCode0
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