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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 3426–3450 of 4002 papers

TitleStatusHype
Guided Open Vocabulary Image Captioning with Constrained Beam SearchCode0
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences—0
Improving Word Alignment of Rare Words with Word Embeddings—0
Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training—0
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs—0
Learning Orthographic Features in Bi-directional LSTM for Biomedical Named Entity Recognition—0
Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling—0
Word Embeddings and Convolutional Neural Network for Arabic Sentiment ClassificationCode0
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen—0
Efficient Data Selection for Bilingual Terminology Extraction from Comparable Corpora—0
Selective Co-occurrences for Word-Emotion Association—0
Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover's Distance Regularization—0
Chinese Hypernym-Hyponym Extraction from User Generated Categories—0
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network—0
A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu—0
Knowledge-Driven Event Embedding for Stock Prediction—0
Regular polysemy: from sense vectors to sense patterns—0
Distributional Hypernym Generation by Jointly Learning Clusters and Projections—0
Distributed Vector Representations for Unsupervised Automatic Short Answer Grading—0
Predictability of Distributional Semantics in Derivational Word Formation—0
Exploring Distributional Representations and Machine Translation for Aspect-based Cross-lingual Sentiment Classification.—0
Feelings from the Past---Adapting Affective Lexicons for Historical Emotion Analysis—0
DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets—0
Exploration of register-dependent lexical semantics using word embeddingsCode0
Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings—0
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