Amanote Research

Amanote Research

    RegisterSign In

Evaluating Semantic Relations in Neural Word Embeddings With Biomedical and General Domain Knowledge Bases

BMC Medical Informatics and Decision Making - United Kingdom
doi 10.1186/s12911-018-0630-x
Full Text
Open PDF
Abstract

Available in full text

Categories
Health PolicyHealth Informatics
Date

July 1, 2018

Authors
Zhiwei ChenZhe HeXiuwen LiuJiang Bian
Publisher

Springer Science and Business Media LLC


Related search

Incorporating Domain Knowledge in Chemical and Biomedical Named Entity Recognition With Word Representations

Journal of Cheminformatics
Computer GraphicsInformation SciencesLibraryTheoretical ChemistryComputer Science ApplicationsComputer-Aided DesignPhysical
2015English

Semantic Visualization for Short Texts With Word Embeddings

2017English

Semantic Information Extraction for Improved Word Embeddings

2015English

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

2016English

Using Graphs for Word Embedding With Enhanced Semantic Relations

2019English

Evaluating the Usability of Natural Language Query Languages and Interfaces to Semantic Web Knowledge Bases

SSRN Electronic Journal
2010English

Topic Modelling With Word Embeddings

2016English

Jointly Learning Word Embeddings Using a Corpus and a Knowledge Base

PLoS ONE
Multidisciplinary
2018English

A Study of Semantic Augmentation of Word Embeddings for Extractive Summarization

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy