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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 1051–1075 of 4002 papers

TitleStatusHype
A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization—0
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis—0
DICoE@FinSim-3: Financial Hypernym Detection using Augmented Terms and Distance-based Features—0
An Iterative Approach for Unsupervised Most Frequent Sense Detection using WordNet and Word Embeddings—0
Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations—0
Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network—0
Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages—0
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing—0
Acoustically Grounded Word Embeddings for Improved Acoustics-to-Word Speech Recognition—0
Dialogue Session Segmentation by Embedding-Enhanced TextTiling—0
Bilingual Embeddings with Random Walks over Multilingual Wordnets—0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation—0
An Introduction to Robust Graph Convolutional Networks—0
Bilingual Distributed Word Representations from Document-Aligned Comparable Data—0
Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation—0
An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures—0
Aggression Identification and Multi Lingual Word Embeddings—0
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences—0
Bilexical Embeddings for Quality Estimation—0
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records—0
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks—0
Aggregating User-Centric and Post-Centric Sentiments from Social Media for Topical Stance Prediction—0
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings—0
Dialog State Tracking: A Neural Reading Comprehension Approach—0
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