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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 15011550 of 4002 papers

TitleStatusHype
Word Embedding based New Corpus for Low-resourced Language: Sindhi0
Exploring the Combination of Contextual Word Embeddings and Knowledge Graph Embeddings0
Exploring the effect of semantic similarity for Phrase-based Machine Translation0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks0
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings0
From the New World of Word Embeddings: A Comparative Study of Small-World Lexico-Semantic Networks in LLMs0
Exploring the Use of Lexicons to aid Deep Learning towards the Detection of Abusive Language0
Exploring the use of word embeddings and random walks on Wikipedia for the CogAlex shared task0
Exploring the Value of Personalized Word Embeddings0
Exploring transfer learning for Deep NLP systems on rarely annotated languages0
Exploring Vector Spaces for Semantic Relations0
Exploring Wasserstein Distance across Concept Embeddings for Ontology Matching0
Exploring Word Embedding for Drug Name Recognition0
Exploring word embeddings and phonological similarity for the unsupervised correction of language learner errors0
Exploring Word Embeddings for Unsupervised Textual User-Generated Content Normalization0
Exploring Word Sense Disambiguation Abilities of Neural Machine Translation Systems (Non-archival Extended Abstract)0
Exponential Family Embeddings0
Exponential Family Word Embeddings: An Iterative Approach for Learning Word Vectors0
Expressing Objects just like Words: Recurrent Visual Embedding for Image-Text Matching0
Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings0
Extending and Improving Wordnet via Unsupervised Word Embeddings0
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications0
Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)0
Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning0
Extracting domain-specific terms using contextual word embeddings0
Extracting Possessions from Social Media: Images Complement Language0
Extracting Social Networks from Literary Text with Word Embedding Tools0
Extracting Tags from Large Raw Texts Using End-to-End Memory Networks0
Extracting Temporal and Causal Relations between Events0
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts0
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models0
Extractive Summarization using Continuous Vector Space Models0
Extrapolating Binder Style Word Embeddings to New Words0
Extremal GloVe: Theoretically Accurate Distributed Word Embedding by Tail Inference0
Extremely Small BERT Models from Mixed-Vocabulary Training0
Combining BERT with Static Word Embeddings for Categorizing Social Media0
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering0
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook0
Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users0
Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training0
Combining Discourse Markers and Cross-lingual Embeddings for Synonym--Antonym Classification0
Detecting Figurative Word Occurrences Using Recurrent Neural Networks0
Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor0
Addressing Low-Resource Scenarios with Character-aware Embeddings0
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods0
Fashioning Data - A Social Media Perspective on Fast Fashion Brands0
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish0
Faster Training of Word Embeddings0
Detecting Fake News with Capsule Neural Networks0
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