Amanote Research

Amanote Research

    RegisterSign In

Word Embeddings for Multi-Label Document Classification

doi 10.26615/978-954-452-049-6_057
Full Text
Open PDF
Abstract

Available in full text

Date

November 10, 2017

Authors
Ladislav LencPavel Král
Publisher

Incoma Ltd. Shoumen, Bulgaria


Related search

Exploiting Inter-Label Dependencies in Hierarchical Multi-Label Document Classification

Journal of Natural Language Processing
2014English

Determining Word-Emotion Associations From Tweets by Multi-Label Classification

2016English

Using Centroids of Word Embeddings and Word Mover's Distance for Biomedical Document Retrieval in Question Answering

2016English

Label Relation Inference for Multi-Label Aerial Image Classification

2019English

Supervised Representation Learning for Multi-Label Classification

Machine Learning
Artificial IntelligenceSoftware
2019English

Using Word Embeddings to Enforce Document-Level Lexical Consistency in Machine Translation

The Prague Bulletin of Mathematical Linguistics
2017English

Investigating Multi-Label Classification for Human Values

Proceedings of the American Society for Information Science and Technology
2010English

Multi-Label Networks for Face Attributes Classification

2018English

Binary Linear Compression for Multi-Label Classification

2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy