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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 1951–1975 of 4002 papers

TitleStatusHype
Dialog State Tracking: A Neural Reading Comprehension Approach—0
Word2vec to behavior: morphology facilitates the grounding of language in machinesCode0
Creative Contextual Dialog Adaptation in an Open World RPGCode0
SyntaxFest 2019 Invited talk - Quantitative Computational Syntax: dependencies, intervention effects and word embeddings—0
WMDO: Fluency-based Word Mover's Distance for Machine Translation Evaluation—0
Noisy Parallel Corpus Filtering through Projected Word Embeddings—0
The LMU Munich Unsupervised Machine Translation System for WMT19—0
Learning Joint Acoustic-Phonetic Word Embeddings—0
RNN Embeddings for Identifying Difficult to Understand Medical WordsCode0
Contributions to Clinical Named Entity Recognition in PortugueseCode0
Identification of Adjective-Noun Neologisms using Pretrained Language ModelsCode0
Contextualized Diachronic Word RepresentationsCode0
Probing Word and Sentence Embeddings for Long-distance Dependencies Effects in French and English—0
Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings—0
Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings—0
Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings—0
Unsupervised Compositional Translation of Multiword Expressions—0
ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model—0
Equipping Educational Applications with Domain Knowledge—0
Enhancing biomedical word embeddings by retrofitting to verb clustersCode0
En-Ar Bilingual Word Embeddings without Word Alignment: Factors Effects—0
Semantic Change in the Language of UK Parliamentary Debates—0
JHU System Description for the MADAR Arabic Dialect Identification Shared Task—0
Derivational Morphological Relations in Word Embeddings—0
Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian—0
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