Papers with Code 아카이브
Word Embeddings
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 0
- 보존된 평가 기록
- 0
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.
<span style="color:grey; opacity: 0.6">( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Computational Detection of Intertextual Parallels in Biblical Hebrew: A Benchmark Study Using Transformer-Based Language Models
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition
Low-resource keyword spotting using contrastively trained transformer acoustic word embeddings
Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings
Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform
Recommender systems, stigmergy, and the tyranny of popularity
Static Word Embeddings for Sentence Semantic Representation
Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models
On the Emergence of Linear Analogies in Word Embeddings
Bridging the Modality Gap: Enhancing Channel Prediction with Semantically Aligned LLMs and Knowledge Distillation
A Comparative Analysis of Static Word Embeddings for Hungarian
An Exploratory Analysis on the Explanatory Potential of Embedding-Based Measures of Semantic Transparency for Malay Word Recognition
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
Towards Smart Point-and-Shoot Photography
Word Embedding Techniques for Classification of Star Ratings
Word Embeddings Track Social Group Changes Across 70 Years in China
Geological Inference from Textual Data using Word Embeddings
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections
myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS Tagging
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations
Words as Bridges: Exploring Computational Support for Cross-Disciplinary Translation Work
Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models
SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning
Sentiment Analysis in SemEval: A Review of Sentiment Identification Approaches
SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches
Revisiting Word Embeddings in the LLM Era
From Small to Large Language Models: Revisiting the Federalist Papers
Extracting domain-specific terms using contextual word embeddings
An Improved Deep Learning Model for Word Embeddings Based Clustering for Large Text Datasets
Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments
Complex Ontology Matching with Large Language Model Embeddings
Non-Euclidean Hierarchical Representational Learning using Hyperbolic Graph Neural Networks for Environmental Claim Detection
From the New World of Word Embeddings: A Comparative Study of Small-World Lexico-Semantic Networks in LLMs
Evolving Hate Speech Online: An Adaptive Framework for Detection and Mitigation
Probabilistic Lexical Manifold Construction in Large Language Models via Hierarchical Vector Field Interpolation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.