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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 2951–2975 of 4002 papers

TitleStatusHype
SemRe-Rank: Improving Automatic Term Extraction By Incorporating Semantic Relatedness With Personalised PageRankCode1
Evaluation of Croatian Word EmbeddingsCode0
Learning Word Embeddings from Speech—0
Fine-tuning Tree-LSTM for phrase-level sentiment classification on a Polish dependency treebank. Submission to PolEval task 2Code0
Compressing Word Embeddings via Deep Compositional Code LearningCode0
應用詞向量於語言樣式探勘之研究 (Mining Language Patterns Using Word Embeddings) [In Chinese]—0
Towards Lower Bounds on Number of Dimensions for Word Embeddings—0
Event Ordering with a Generalized Model for Sieve Prediction Ranking—0
Demographic Word Embeddings for Racism Detection on Twitter—0
Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification—0
Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification—0
Lexical Simplification with the Deep Structured Similarity Model—0
Injecting Word Embeddings with Another Language's Resource : An Application of Bilingual Embeddings—0
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks—0
Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word RepresentationsCode0
Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion—0
Bilingual Word Embeddings for Bilingual Terminology Extraction from Specialized Comparable Corpora—0
Geographical Evaluation of Word Embeddings—0
Modelling Representation Noise in Emotion Analysis using Gaussian Processes—0
CVBed: Structuring CVs usingWord Embeddings—0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
Training Word Sense Embeddings With Lexicon-based Regularization—0
Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging—0
Hyperspherical Query Likelihood Models with Word Embeddings—0
Grammatical Error Detection Using Error- and Grammaticality-Specific Word EmbeddingsCode0
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