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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 2826–2850 of 4002 papers

TitleStatusHype
Combining rule-based and embedding-based approaches to normalize textual entities with an ontology—0
Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment TaskCode0
Constructing High Quality Sense-specific Corpus and Word Embedding via Unsupervised Elimination of Pseudo Multi-sense—0
L'optimisation du plongement de mots pour le fran : une application de la classification des phrases (Optimization of Word Embeddings for French : an Application of Sentence Classification)—0
DeepTC -- An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments—0
Designing a Russian Idiom-Annotated Corpus—0
Des pseudo-sens pour am\'eliorer l'extraction de synonymes \`a partir de plongements lexicaux (Pseudo-senses for improving the extraction of synonyms from word embeddings)—0
Des repr\'esentations continues de mots pour l'analyse d'opinions en arabe: une \'etude qualitative (Word embeddings for Arabic sentiment analysis : a qualitative study)—0
Lexical and Semantic Features for Cross-lingual Text Reuse Classification: an Experiment in English and Latin Paraphrases—0
Adapted Sentiment Similarity Seed Words For French Tweets' Polarity Classification—0
The German Reference Corpus DeReKo: New Developments -- New Opportunities—0
Ensemble Romanian Dependency Parsing with Neural Networks—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
Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities—0
Evaluation of Dictionary Creating Methods for Finno-Ugric Minority Languages—0
Evaluation of Domain-specific Word Embeddings using Knowledge Resources—0
Finely Tuned, 2 Billion Token Based Word Embeddings for Portuguese—0
Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation—0
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging—0
Grapheme-level Awareness in Word Embeddings for Morphologically Rich Languages—0
Handling Normalization Issues for Part-of-Speech Tagging of Online Conversational Text—0
Simulating ASR errors for training SLU systems—0
Language adaptation experiments via cross-lingual embeddings for related languages—0
SimPA: A Sentence-Level Simplification Corpus for the Public Administration Domain—0
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