DeepAI

Elsevier

∙ New York , United States ∙ 0 followers

Elsevier is a global information analytics business that helps institutions and professionals progress science, advance healthcare and improve performance.

Featured Researchers

Paul Groth
21 publications
Yury Kashnitsky
6 publications
Ron Daniel Jr
5 publications
Camilo Thorne
4 publications
Seyed Amin Tabatabaei
3 publications
Daniel Kershaw
2 publications
Rob Koeling
2 publications
Antony Scerri
1 publication
Anthony Scerri
1 publication
Bradley P. Allen
1 publication
J. Truong
1 publication

∙ 07/24/2021

Stress Test Evaluation of Biomedical Word Embeddings

The success of pretrained word embeddings has motivated their use in the...

Vladimir Araujo, et al. ∙

∙ 02/15/2018

Open Information Extraction on Scientific Text: An Evaluation

Open Information Extraction (OIE) is the task of the unsupervised creati...

Paul Groth, et al. ∙

∙ 05/30/2018

DATA:SEARCH'18 – Searching Data on the Web

This half day workshop explores challenges in data search, with a partic...

Paul Groth, et al. ∙

∙ 11/15/2018

End-to-End Learning for Answering Structured Queries Directly over Text

Structured queries expressed in languages (such as SQL, SPARQL, or XQuer...

Paul Groth, et al. ∙

∙ 08/03/2020

Elsevier OA CC-By Corpus

We introduce the Elsevier OA CC-BY corpus. This is the first open corpus...

Daniel Kershaw, et al. ∙

∙ 07/11/2021

Document Embedding for Scientific Articles: Efficacy of Word Embeddings vs TFIDF

Over the last few years, neural network derived word embeddings became p...

H. J. Meijer, et al. ∙

∙ 09/01/2022

Find the Funding: Entity Linking with Incomplete Funding Knowledge Bases

Automatic extraction of funding information from academic articles adds ...

Gizem Aydin, et al. ∙

∙ 09/15/2022

Identifying research supporting the United Nations Sustainable Development Goals

The United Nations (UN) Sustainable Development Goals (SDGs) challenge t...

Yury Kashnitsky, et al. ∙