ProfessorsProfessors of Rheinische Friedrich-Wilhelms-Universität BonnDiego Esteves

Diego Esteves

Rheinische Friedrich-Wilhelms-Universität Bonn

H-index: 12

Europe-Germany

About Diego Esteves

Diego Esteves, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn, specializes in the field of Named Entity Recognition, Information Retrieval, Machine Learning, Fact Checking, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data

Towards Better Evidence Extraction Methods for Fact-Checking Systems

InferNER: An attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs

A Neural-based model to Predict the Future Natural Gas Market Price through Open-domain Event Extraction

ML-Schema: An interchangeable format for description of machine learning experiments

Diego Esteves Information

University	Rheinische Friedrich-Wilhelms-Universität Bonn
Position	FARFETCH
Citations(all)	498
Citations(since 2020)	402
Cited By	272
hIndex(all)	12
hIndex(since 2020)	11
i10Index(all)	13
i10Index(since 2020)	12
Email	Access Email
University Profile Page	Rheinische Friedrich-Wilhelms-Universität Bonn
Google Scholar	View Google Scholar Profile

Diego Esteves Skills & Research Interests

Named Entity Recognition

Information Retrieval

Machine Learning

Fact Checking

Natural Language Processing

Top articles of Diego Esteves

Title	Journal	Author(s)	Publication Date
HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data		Diego Esteves José Marcelino Piyush Chawla Asja Fischer Jens Lehmann	2021
Towards Better Evidence Extraction Methods for Fact-Checking Systems		Pedro Azevedo Gil Rocha Diego Esteves Henrique Lopes Cardoso	2021/12/14
InferNER: An attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs	The international FLAIRS conference proceedings	Moemmur Shahzad Ayesha Amin Diego Esteves Axel-Cyrille Ngonga Ngomo	2021/4/18
A Neural-based model to Predict the Future Natural Gas Market Price through Open-domain Event Extraction		Minh Triet Chau Diego Esteves Jens Lehmann	2020/5/31
ML-Schema: An interchangeable format for description of machine learning experiments	Preprint	Gustavo Correa Publio Agnieszka Ławrynowicz Larisa Soldatova Pance Panov Diego Esteves ...	2019