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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 3451–3500 of 4002 papers

TitleStatusHype
Deceptive Opinion Spam Detection Using Neural Network—0
Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings—0
CogALex-V Shared Task: LOPE—0
Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters—0
Bi-LSTM Neural Networks for Chinese Grammatical Error Diagnosis—0
Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings—0
Bad Company---Neighborhoods in Neural Embedding Spaces Considered HarmfulCode0
Residual Stacking of RNNs for Neural Machine Translation—0
TASTY: Interactive Entity Linking As-You-Type—0
Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short TextsCode0
Definition Modeling: Learning to define word embeddings in natural languageCode0
Supervised Word Mover's DistanceCode0
Improved Word Embeddings with Implicit Structure Information—0
Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings—0
CNN- and LSTM-based Claim Classification in Online User Comments—0
CharNER: Character-Level Named Entity RecognitionCode0
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs—0
NER for Medical Entities in Twitter using Sequence to Sequence Neural Networks—0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—0
Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning—0
A Distribution-based Model to Learn Bilingual Word Embeddings—0
Japanese Lexical Simplification for Non-Native Speakers—0
Modifications of Machine Translation Evaluation Metrics by Using Word Embeddings—0
N-best Rescoring for Parsing Based on Dependency-Based Word Embeddings—0
Latent Topic Embedding—0
Different Contexts Lead to Different Word Embeddings—0
Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings—0
Structured Generative Models of Continuous Features for Word Sense Induction—0
Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network—0
WordForce: Visualizing Controversial Words in Debates—0
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities—0
On the contribution of word embeddings to temporal relation classification—0
Weighted Neural Bag-of-n-grams Model: New Baselines for Text ClassificationCode0
Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP—0
CogALex-V Shared Task: GHHH - Detecting Semantic Relations via Word Embeddings—0
ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.—0
Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification—0
Extracting Social Networks from Literary Text with Word Embedding Tools—0
A Deep Fusion Model for Domain Adaptation in Phrase-based MT—0
Local-Global Vectors to Improve Unigram Terminology Extraction—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
Multi-view Recurrent Neural Acoustic Word Embeddings—0
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