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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 1751–1775 of 4002 papers

TitleStatusHype
Improving Interpretability of Word Embeddings by Generating Definition and Usage—0
CoSimLex: A Resource for Evaluating Graded Word Similarity in ContextCode0
Machine Translation with Cross-lingual Word EmbeddingsCode0
Multilingual aspect clustering for sentiment analysisCode0
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions—0
Measuring Social Bias in Knowledge Graph Embeddings—0
Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and TwiCode0
Natural Alpha Embeddings—0
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as WellCode0
EduBERT: Pretrained Deep Language Models for Learning Analytics—0
Incorporating Sub-Word Level Information in Language Invariant Neural Event Detection—0
Deconstructing and reconstructing word embedding algorithms—0
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data—0
Inducing Relational Knowledge from BERT—0
Word Embedding based New Corpus for Low-resourced Language: Sindhi—0
Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection—0
Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes—0
Word-Class Embeddings for Multiclass Text ClassificationCode0
City2City: Translating Place Representations across Cities—0
Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction—0
A Causal Inference Method for Reducing Gender Bias in Word Embedding RelationsCode0
Towards robust word embeddings for noisy textsCode0
Causally Denoise Word Embeddings Using Half-Sibling RegressionCode0
Enhancing Out-Of-Domain Utterance Detection with Data Augmentation Based on Word Embeddings—0
Anaphora Resolution in Dialogue Systems for South Asian Languages—0
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