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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 2751–2800 of 4002 papers

TitleStatusHype
Word embedding and neural network on grammatical gender -- A case study of Swedish—0
Word Embedding and WordNet Based Metaphor Identification and Interpretation—0
Word Embedding-based Antonym Detection using Thesauri and Distributional Information—0
Word Embedding-Based Automatic MT Evaluation Metric using Word Position Information—0
Word-Embedding based Content Features for Automated Oral Proficiency Scoring—0
Word Embedding Calculus in Meaningful Ultradense Subspaces—0
Word Embedding Evaluation and Combination—0
Word Embedding Evaluation Datasets and Wikipedia Title Embedding for Chinese—0
Word Embedding Evaluation for Sinhala—0
Word Embedding Evaluation in Downstream Tasks and Semantic Analogies—0
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen—0
Word embeddings and discourse information for Quality Estimation—0
Word embeddings and recurrent neural networks based on Long-Short Term Memory nodes in supervised biomedical word sense disambiguation—0
Word Embeddings and Their Use In Sentence Classification Tasks—0
Word Embeddings and Validity Indexes in Fuzzy Clustering—0
Word Embeddings as Features for Supervised Coreference Resolution—0
Word Embeddings as Metric Recovery in Semantic Spaces—0
Word Embeddings as Tuples of Feature Probabilities—0
Word Embeddings: A Survey—0
Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding—0
Word Embeddings-Based Uncertainty Detection in Financial Disclosures—0
Word Embeddings, Cosine Similarity and Deep Learning for Identification of Professions & Occupations in Health-related Social Media—0
Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic—0
Word Embeddings for Banking Industry—0
Word Embeddings for Chemical Patent Natural Language Processing—0
Word Embeddings for Code-Mixed Language Processing—0
Word embeddings for idiolect identification—0
Word Embeddings for Multi-label Document Classification—0
Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey—0
Word embeddings for topic modeling: an application to the estimation of the economic policy uncertainty index—0
Word Embeddings from Large-Scale Greek Web Content—0
Word Embeddings Inherently Recover the Conceptual Organization of the Human Mind—0
Word Embeddings Revisited: Do LLMs Offer Something New?—0
Word Embeddings: Stability and Semantic Change—0
Word Embeddings through Hellinger PCA—0
Word Embeddings to Enhance Twitter Gang Member Profile Identification—0
Word Embeddings Track Social Group Changes Across 70 Years in China—0
Word Embeddings vs Word Types for Sequence Labeling: the Curious Case of CV Parsing—0
Word Embeddings with Limited Memory—0
Word Embedding Techniques for Classification of Star Ratings—0
Word Embedding Transformation for Robust Unsupervised Bilingual Lexicon Induction—0
Word Emdeddings through Hellinger PCA—0
Word Equations: Inherently Interpretable Sparse Word Embeddings through Sparse Coding—0
WordForce: Visualizing Controversial Words in Debates—0
Word, graph and manifold embedding from Markov processes—0
Word-level Speech Recognition with a Letter to Word Encoder—0
Wordnet-based Evaluation of Large Distributional Models for Polish—0
Wordnet extension via word embeddings: Experiments on the Norwegian Wordnet—0
Word Re-Embedding via Manifold Dimensionality Retention—0
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings—0
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