Sepideh Mesbah

About Sepideh Mesbah

Sepideh Mesbah, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Natural Language Processing, data science.

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

HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale

Second workshop on recommender systems for human resources (recsys in hr 2022)

Using RobBERT and eXtreme multi-label classification to extract implicit and explicit skills from Dutch job descriptions

Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks

Normalization of Long-tail Adverse Drug Reactions in Social Media

LOREM: language-consistent open relation extraction from unstructured text

Knowledge graphs evolution and preservation

Semantic-Enhanced Training Data Augmentation Methods for Long-Tail Entity Recognition Models

Sepideh Mesbah Information

University

Position

___

Citations(all)

171

Citations(since 2020)

114

Cited By

92

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Sepideh Mesbah Skills & Research Interests

Natural Language Processing

data science

Top articles of Sepideh Mesbah

Title

Journal

Author(s)

Publication Date

HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale

Sepideh Mesbah

Ines Arous

Jie Yang

Alessandro Bozzon

2023/4/30

Second workshop on recommender systems for human resources (recsys in hr 2022)

Toine Bogers

David Graus

Mesut Kaya

Francisco Gutiérrez

Sepideh Mesbah

...

2022/9/18

Using RobBERT and eXtreme multi-label classification to extract implicit and explicit skills from Dutch job descriptions

Compjobs’ 22: Computational Jobs Marketplace

NINANDE Vermeer

Vera Provatorova

DAVID Graus

THILINA Rajapakse

SEPIDEH Mesbah

2022

Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks

Benjamin Platten

Matthew Macfarlane

David Graus

Sepideh Mesbah

2022

Normalization of Long-tail Adverse Drug Reactions in Social Media

Emmanouil Manousogiannis

Sepideh Mesbah

Alessandro Bozzon

Robert-Jan Sips

Zoltan Szlanik

...

2020/11

LOREM: language-consistent open relation extraction from unstructured text

Tom Harting

Sepideh Mesbah

Christoph Lofi

2020/4/20

Knowledge graphs evolution and preservation

Valentina Anita Carriero

Luigi Asprino

Russa Biswas

I Celino

J Domingue

...

2020

Semantic-Enhanced Training Data Augmentation Methods for Long-Tail Entity Recognition Models

Sepideh Mesbah

2020

Knowledge Graphs Evolution and Preservation--A Technical Report from ISWS 2019

arXiv preprint arXiv:2012.11936

Nacira Abbas

Kholoud Alghamdi

Mortaza Alinam

Francesca Alloatti

Glenda Amaral

...

2020/12/22

See List of Professors in Sepideh Mesbah University(Technische Universiteit Delft)