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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 3826–3850 of 4002 papers

TitleStatusHype
How to Generate a Good Word Embedding?Code0
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network ModelsCode0
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes—0
Transferring Coreference Resolvers with Posterior Regularization—0
Learning Representations for Text-level Discourse Parsing—0
Clinical Abbreviation Disambiguation Using Neural Word Embeddings—0
Learning finite state word representations for unsupervised Twitter adaptation of POS taggers—0
Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints—0
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data—0
Model-based Word Embeddings from Decompositions of Count Matrices—0
Exploring the effect of semantic similarity for Phrase-based Machine Translation—0
NRC: Infused Phrase Vectors for Named Entity Recognition in Twitter—0
Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization—0
Question Answering over Freebase with Multi-Column Convolutional Neural Networks—0
Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network—0
Bilingual Word Embeddings from Non-Parallel Document-Aligned Data Applied to Bilingual Lexicon Induction—0
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks—0
Deep Unordered Composition Rivals Syntactic Methods for Text ClassificationCode0
Learning Cross-lingual Word Embeddings via Matrix Co-factorization—0
Multimedia Lab @ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations—0
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering—0
Describing Images using Inferred Visual Dependency Representations—0
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