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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 676700 of 4002 papers

TitleStatusHype
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning0
A Probabilistic Model for Learning Multi-Prototype Word Embeddings0
Comparing Contextual and Static Word Embeddings with Small Data0
應用詞向量於語言樣式探勘之研究 (Mining Language Patterns Using Word Embeddings) [In Chinese]0
A Process for Topic Modelling Via Word Embeddings0
Censorship of Online Encyclopedias: Implications for NLP Models0
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data0
CERM: Context-aware Literature-based Discovery via Sentiment Analysis0
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report0
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging0
Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area0
Boosting Named Entity Recognition with Neural Character Embeddings0
Character aware models with similarity learning for metaphor detection0
Character-Aware Neural Morphological Disambiguation0
Character-based Neural Machine Translation0
Character-based Neural Machine Translation0
Arabic aspect sentiment polarity classification using BERT0
An Unsupervised Approach for Mapping between Vector Spaces0
Arabic POS Tagging: Don't Abandon Feature Engineering Just Yet0
Co-learning of Word Representations and Morpheme Representations0
A Linguistically Informed Convolutional Neural Network0
Character n-gram Embeddings to Improve RNN Language Models0
A Rank-Based Similarity Metric for Word Embeddings0
ChatGPT-EDSS: Empathetic Dialogue Speech Synthesis Trained from ChatGPT-derived Context Word Embeddings0
Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings0
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