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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
Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels—0
Sentence Selection Strategies for Distilling Word Embeddings from BERT—0
Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to Modeling—0
Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge—0
First Bilingual Word Embeddings for te reo Māori and English: Towards Code-switching Detection in a Low-resourced setting—0
Non-Linear Relational Information Probing in Word Embeddings—0
Sense Embeddings are also Biased -- Evaluating Social Biases in Static and Contextualised Sense Embeddings—0
On the interpretability and significance of bias metrics in texts: a PMI-based approach—0
Crossword: Estimating Unknown Embeddings using Cross Attention and Alignment Strategies—0
Multi-Stage Framework with Refinement based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics—0
Evaluating Metrics for Bias in Word Embeddings—0
Zero-Shot Learning in Named-Entity Recognition with External KnowledgeCode1
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning—0
Keyphrase Extraction Using Neighborhood Knowledge Based on Word Embeddings—0
PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed LanguagesCode0
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach—0
Training Cross-Lingual embeddings for Setswana and SepediCode0
Topic-aware latent models for representation learning on networks—0
POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence—0
Monitoring geometrical properties of word embeddings for detecting the emergence of new topics—0
On the Impact of Temporal Representations on Metaphor DetectionCode1
SocialVec: Social Entity EmbeddingsCode0
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks—0
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy—0
Neural Machine Translation for Tamil–Telugu Pair—0
Decoding Word Embeddings with Brain-Based Semantic Features—0
Word Equations: Inherently Interpretable Sparse Word Embeddings through Sparse Coding—0
Data-Driven Detection of General Chiasmi Using Lexical and Semantic FeaturesCode0
Common Sense Bias in Semantic Role LabelingCode0
The Early Modern Dutch Mediascape. Detecting Media Mentions in Chronicles Using Word Embeddings and CRFCode0
BAHP: Benchmark of Assessing Word Embeddings in Historical Portuguese—0
On the Cross-lingual Transferability of Contextualized Sense Embeddings—0
Do not neglect related languages: The case of low-resource Occitan cross-lingual word embeddings—0
Zero-Shot Cross-Lingual Transfer is a Hard Baseline to Beat in German Fine-Grained Entity Typing—0
Monitoring geometrical properties of word embeddings for detecting the emergence of new topics.—0
“Wikily” Supervised Neural Translation Tailored to Cross-Lingual Tasks—0
Reinforced Counterfactual Data Augmentation for Dual Sentiment ClassificationCode0
Is Stance Detection Topic-Independent and Cross-topic Generalizable? - A Reproduction Study—0
Distilling Word Meaning in Context from Pre-trained Language ModelsCode0
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts—0
UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings—0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
Locality Preserving Sentence Encoding—0
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution.Code0
HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context RepresentationsCode0
Named Entity Recognition in the Romanian Legal DomainCode0
discopy: A Neural System for Shallow Discourse ParsingCode1
Tracing variation in discourse connectives in translation and interpreting through neural semantic spaces—0
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