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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 3251–3275 of 4002 papers

TitleStatusHype
Bidirectional Recurrent Convolutional Neural Network for Relation Classification—0
Bidirectional Retrieval Made Simple—0
Evaluating Contextualized Representations of (Spanish) Ambiguous Words: A New Lexical Resource and Empirical Analysis—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks—0
Bilexical Embeddings for Quality Estimation—0
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences—0
Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation—0
Bilingual Distributed Word Representations from Document-Aligned Comparable Data—0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation—0
Bilingual Embeddings with Random Walks over Multilingual Wordnets—0
Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages—0
Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations—0
Bilingually-constrained Phrase Embeddings for Machine Translation—0
Bilingual Terminology Extraction Using Neural Word Embeddings on Comparable Corpora—0
Bilingual Topic Models for Comparable Corpora—0
Bilingual Word Embeddings for Bilingual Terminology Extraction from Specialized Comparable Corpora—0
Bilingual Word Embeddings for Phrase-Based Machine Translation—0
Bilingual Word Embeddings from Non-Parallel Document-Aligned Data Applied to Bilingual Lexicon Induction—0
Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification—0
Bilingual Word Embeddings with Bucketed CNN for Parallel Sentence Extraction—0
Bi-LSTM Neural Networks for Chinese Grammatical Error Diagnosis—0
Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction—0
Binary Encoded Word Mover’s Distance—0
Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification—0
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