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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 3476–3500 of 4002 papers

TitleStatusHype
Japanese Lexical Simplification for Non-Native Speakers—0
Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters—0
Feelings from the Past---Adapting Affective Lexicons for Historical Emotion Analysis—0
Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP—0
Exploration of register-dependent lexical semantics using word embeddingsCode0
Extracting Social Networks from Literary Text with Word Embedding Tools—0
DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets—0
ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.—0
Definition Modeling: Learning to define word embeddings in natural languageCode0
Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings—0
Identity-sensitive Word Embedding through Heterogeneous Networks—0
Geometry of CompositionalityCode0
Bidirectional LSTM-CRF for Clinical Concept ExtractionCode0
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images—0
Sampled Image Tagging and Retrieval Methods on User Generated Content—0
Visualizing Linguistic Shift—0
Word and Document Embeddings based on Neural Network Approaches—0
Zero-Shot Visual Question Answering—0
A Semi-supervised Framework for Image CaptioningCode0
Attending to Characters in Neural Sequence Labeling Models—0
Multi-view Recurrent Neural Acoustic Word Embeddings—0
A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation—0
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and DocumentsCode0
Discriminative Acoustic Word Embeddings: Recurrent Neural Network-Based Approaches—0
Automated Generation of Multilingual Clusters for the Evaluation of Distributed RepresentationsCode0
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