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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 2176–2200 of 4002 papers

TitleStatusHype
Evaluating Sub-word Embeddings in Cross-lingual Models—0
Evaluating the Consistency of Word Embeddings from Small Data—0
Evaluating the Impact of Sub-word Information and Cross-lingual Word Embeddings on Mi'kmaq Language Modelling—0
Evaluating the Stability of Embedding-based Word Similarities—0
Evaluating the timing and magnitude of semantic change in diachronic word embedding models—0
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings—0
Evaluating vector-space models of analogy—0
Evaluating Word Embedding Hyper-Parameters for Similarity and Analogy Tasks—0
Evaluating Word Embedding Models: Methods and Experimental Results—0
Evaluating Word Embeddings for Indonesian--English Code-Mixed Text Based on Synthetic Data—0
Evaluating Word Embeddings for Language Acquisition—0
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts—0
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts—0
Evaluating Word Embeddings in Extremely Under-Resourced Languages: A Case Study in Bribri—0
Evaluating Word Embeddings on Low-Resource Languages—0
Evaluating Word Embeddings Using a Representative Suite of Practical Tasks—0
Evaluating word embeddings with fMRI and eye-tracking—0
Evaluation Framework for Understanding Sensitive Attribute Association Bias in Latent Factor Recommendation Algorithms—0
Evaluation methods for unsupervised word embeddings—0
Evaluation of acoustic word embeddings—0
Evaluation of Deep Learning Models for Hostility Detection in Hindi Text—0
Evaluation of Dictionary Creating Methods for Finno-Ugric Minority Languages—0
Evaluation of Domain-specific Word Embeddings using Knowledge Resources—0
Evaluation of Greek Word Embeddings—0
Evaluation of Morphological Embeddings for the Russian Language—0
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