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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 701–750 of 4002 papers

TitleStatusHype
Count-Based and Predictive Language Models for Exploring DeReKo—0
Compiling a Highly Accurate Bilingual Lexicon by Combining Different Approaches—0
Don’t Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
XLNET-GRU Sentiment Regression Model for Cryptocurrency News in English and Malay—0
Measuring Similarity by Linguistic Features rather than Frequency—0
Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic—0
Accurate Dependency Parsing and Tagging of Latin—0
Metaphor Detection for Low Resource Languages: From Zero-Shot to Few-Shot Learning in Middle High GermanCode0
Casteism in India, but Not Racism - a Study of Bias in Word Embeddings of Indian Languages—0
Using Convolution Neural Network with BERT for Stance Detection in Vietnamese—0
Tracking Changes in ESG Representation: Initial Investigations in UK Annual Reports—0
Evaluating Monolingual and Crosslingual Embeddings on Datasets of Word Association Norms—0
HECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French—0
Query Obfuscation by Semantic Decomposition—0
A Hmong Corpus with Elaborate Expression Annotations—0
A General Framework for Detecting Metaphorical Collocations—0
BERTrade: Using Contextual Embeddings to Parse Old French—0
Use Case: Romanian Language Resources in the LOD Paradigm—0
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings—0
Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional NetworksCode0
Toward Understanding Bias Correlations for Mitigation in NLP—0
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word AlignmentCode0
Do Deep Learning Models and News Headlines Outperform Conventional Prediction Techniques on Forex Data?—0
Current Trends and Approaches in Synonyms Extraction: Potential Adaptation to Arabic—0
What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris—0
Design and Implementation of a Quantum Kernel for Natural Language ProcessingCode0
Vision Transformer: Vit and its Derivatives—0
Cross-lingual Word Embeddings in Hyperbolic Space—0
Using virtual edges to extract keywords from texts modeled as complex networks—0
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource LanguageCode0
The Limits of Word Level Differential Privacy—0
Roadblocks in Gender Bias Measurement for Diachronic CorporaCode0
Improving Relation Extraction through Syntax-induced Pre-training with Dependency MaskingCode0
Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings—0
Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge—0
Unsupervised Geometric and Topological Approaches for Cross-Lingual Sentence Representation and Comparison—0
English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network—0
SSNCSE_NLP@LT-EDI-ACL2022: Homophobia/Transphobia Detection in Multiple Languages using SVM Classifiers and BERT-based Transformers—0
DLRG@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil using Multilingual Transformer Models—0
Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions—0
Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word EmbeddingsCode0
Learning and Evaluating Character Representations in NovelsCode0
Can We Use Word Embeddings for Enhancing Guarani-Spanish Machine Translation?Code0
Estimating word co-occurrence probabilities from pretrained static embeddings using a log-bilinear model—0
Binary Encoded Word Mover’s Distance—0
Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks—0
LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration MemoryCode0
“Vaderland”, “Volk” and “Natie”: Semantic Change Related to Nationalism in Dutch Literature Between 1700 and 1880 Captured with Dynamic Bernoulli Word Embeddings—0
English-Malay Cross-Lingual Embedding Alignment using Bilingual Lexicon Augmentation—0
A Neural Model for Compositional Word Embeddings and Sentence Processing—0
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