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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 2151–2200 of 4002 papers

TitleStatusHype
Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models—0
Estimating Mutual Information Between Dense Word Embeddings—0
Estimating Text Similarity based on Semantic Concept Embeddings—0
Estimating User Communication Styles for Spoken Dialogue Systems—0
Estimating word co-occurrence probabilities from pretrained static embeddings using a log-bilinear model—0
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates—0
\'Etiquetage en parties du discours de langues peu dot\'ees par sp\'ecialisation des plongements lexicaux (POS tagging for low-resource languages by adapting word embeddings )—0
Etude de la reproductibilit\'e des word embeddings : rep\'erage des zones stables et instables dans le lexique (Reproducibility of word embeddings : identifying stable and unstable zones in the semantic space)—0
\'Etude sur le r\'esum\'e comparatif gr\^ace aux plongements de mots (Comparative summarization study using word embeddings)—0
EusDisParser: improving an under-resourced discourse parser with cross-lingual data—0
Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages—0
Evaluating a Multi-sense Definition Generation Model for Multiple Languages—0
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus—0
Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks—0
Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing—0
Evaluating Feature Extraction Methods for Knowledge-based Biomedical Word Sense Disambiguation—0
Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text—0
Evaluating KGR10 Polish word embeddings in the recognition of temporal expressions using BiLSTM-CRF—0
Evaluating Machine Common Sense via Cloze Testing—0
Evaluating Metrics for Bias in Word Embeddings—0
Evaluating Monolingual and Crosslingual Embeddings on Datasets of Word Association Norms—0
Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation—0
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks—0
Evaluating Neural Word Representations in Tensor-Based Compositional Settings—0
Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning—0
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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