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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 3001–3025 of 4002 papers

TitleStatusHype
RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN—0
Convolutional Neural Networks for Sentiment Classification on Business Reviews—0
Word Translation Without Parallel DataCode0
MoNoise: Modeling Noise Using a Modular Normalization SystemCode0
Deep Learning Paradigm with Transformed Monolingual Word Embeddings for Multilingual Sentiment Analysis—0
Clickbait detection using word embeddings—0
Learning Word Embeddings for Hyponymy with Entailment-Based Distributional Semantics—0
Low-resource bilingual lexicon extraction using graph based word embeddings—0
BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 LanguagesCode0
Syntactic and Semantic Features For Code-Switching Factored Language Models—0
Cross-Language Question Re-Ranking—0
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl—0
Improving Lexical Choice in Neural Machine TranslationCode0
Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts—0
Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction—0
Synonym Discovery with Etymology-based Word Embeddings—0
Structured Embedding Models for Grouped DataCode0
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models—0
Learning of Colors from Color Names: Distribution and Point EstimationCode0
KeyVec: Key-semantics Preserving Document Representations—0
Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity RecognitionCode0
Learning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts—0
Inducing Distant Supervision in Suggestion Mining through Part-of-Speech Embeddings—0
On the Use of Machine Translation-Based Approaches for Vietnamese Diacritic Restoration—0
Why PairDiff works? -- A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection—0
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