Etymo: A New Discovery Engine for AI Research

01/25/2018
by   Weijian Zhang, et al.
0

We present Etymo (https://etymo.io), a discovery engine to facilitate artificial intelligence (AI) research and development. It aims to help readers navigate a large number of AI-related papers published every week by using a novel form of search that finds relevant papers and displays related papers in a graphical interface. Etymo constructs and maintains an adaptive similarity-based network of research papers as an all-purpose knowledge graph for ranking, recommendation, and visualisation. The network is constantly evolving and can learn from user feedback to adjust itself.

READ FULL TEXT
research
06/09/2021

Artificial Intelligence in Drug Discovery: Applications and Techniques

Artificial intelligence (AI) has been transforming the practice of drug ...
research
08/31/2021

A Search Engine for Discovery of Scientific Challenges and Directions

Keeping track of scientific challenges, advances and emerging directions...
research
10/24/2017

Implementing Recommendation Algorithms in a Large-Scale Biomedical Science Knowledge Base

The number of biomedical research articles published has doubled in the ...
research
02/16/2019

An Explorative Study of GitHub Repositories of AI Papers

With the rapid development of AI technologies, thousands of AI papers ar...
research
05/11/2020

Embedding-based Scientific Literature Discovery in a Text Editor Application

Each claim in a research paper requires all relevant prior knowledge to ...
research
05/02/2017

Increasing Papers' Discoverability with Precise Semantic Labeling: the sci.AI Platform

The number of published findings in biomedicine increases continually. A...
research
05/11/2018

TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation

The field of Natural Language Processing (NLP) is growing rapidly, with ...

Please sign up or login with your details

Forgot password? Click here to reset