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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 1351–1400 of 4002 papers

TitleStatusHype
GeDi: Generative Discriminator Guided Sequence GenerationCode1
ReviewViz: Assisting Developers Perform Empirical Study on Energy Consumption Related Reviews for Mobile ApplicationsCode0
Coreference Resolution System for Indonesian Text with Mention Pair Method and Singleton Exclusion using Convolutional Neural NetworkCode0
Investigating Gender Bias in BERT—0
Brain2Word: Decoding Brain Activity for Language GenerationCode1
UPB at SemEval-2020 Task 9: Identifying Sentiment in Code-Mixed Social Media Texts using Transformers and Multi-Task Learning—0
Bio-inspired Structure Identification in Language Embeddings—0
Going Beyond T-SNE: Exposing whatlies in Text EmbeddingsCode1
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer GradingCode1
VinAI at ChEMU 2020: An accurate system for named entity recognition in chemical reactions from patents—0
Japanese Word Readability Assessment using Word Embeddings—0
Discovering Bilingual Lexicons in Polyglot Word Embeddings—0
Query Focused Multi-document Summarisation of Biomedical Texts: Macquarie Universiy and the Australian National University at BioASQ8bCode0
Query Focused Multi-document Summarisation of Biomedical TextsCode0
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data—0
GREEK-BERT: The Greeks visiting Sesame StreetCode1
Contextualized moral inference—0
Simple Unsupervised Similarity-Based Aspect ExtractionCode0
Two Stages Approach for Tweet Engagement Prediction—0
Predicting Helpfulness of Online Reviews—0
An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension—0
A Survey of Active Learning for Text Classification using Deep Neural Networks—0
Context-aware Feature Generation for Zero-shot Semantic SegmentationCode1
MICE: Mining Idioms with Contextual EmbeddingsCode0
Context Reinforced Neural Topic Modeling over Short TextsCode0
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word EmbeddingsCode0
Discovering and Categorising Language Biases in RedditCode1
An exploration of the encoding of grammatical gender in word embeddings—0
Deep Learning based Topic Analysis on Financial Emerging Event Tweets—0
Combining Representations For Effective Citation ClassificationCode0
Unsupervised Deep Cross-modality Spectral Hashing—0
Word embedding and neural network on grammatical gender -- A case study of Swedish—0
Effect of Text Processing Steps on Twitter Sentiment Classification using Word Embedding—0
Word Embeddings: Stability and Semantic Change—0
Predicting Job-Hopping Motive of Candidates Using Answers to Open-ended Interview Questions—0
IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings—0
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification—0
Morphological Skip-Gram: Using morphological knowledge to improve word representation—0
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual LearningCode0
Towards Debiasing Sentence RepresentationsCode1
A Feature Analysis for Multimodal News Retrieval—0
An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets—0
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning—0
Topic Modeling on User Stories using Word Mover's DistanceCode0
GLOW : Global Weighted Self-Attention Network for Web SearchCode1
Cultural Cartography with Word Embeddings—0
Automatic Detection of Sexist Statements Commonly Used at the WorkplaceCode0
Contextualized Spoken Word Representations from Convolutional Autoencoders—0
Reflection-based Word Attribute TransferCode0
Tweets Sentiment Analysis via Word Embeddings and Machine Learning Techniques—0
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