Loading...
  • Erkan Başar
    PhD Candidate at Radboud University

Experience

  • Sep 2020 - Present

    PhD Candidate

    Radboud University Nijmegen

    Behavioural Science Institute

    Research on natural language generation and dialogue management for health communication with conversational agents.

    Projects: Look Who's Talking

  • Sep 2017 - Feb 2022

    Computational Linguist

    FloodTags

    Development of machine learning-based systems for event detection and information extraction, with a focus on analyzing news articles related to natural disasters. Created an end-to-end information processing pipeline that has been successfully applied and tested in multiple languages, including English, French, Burmese, Lao, and Khmer.

    Projects: FloodTags NEAT

  • Mar 2020 - Jul 2020

    Scientific Software Developer

    Radboud University Nijmegen

    Centre for Language and Speech Technologies

    Developed a system that converts Dutch dialect words into their dictionary forms. The project also included a demo website where users can interact with the system.

    Projects: Dialect2Keyword

  • Apr 2018 - Sep 2019

    Guest Researcher

    Radboud University Nijmegen

    Centre for Language Studies

    Research focused on information extraction from unstructured text, including applications of it on low resourced languages.

    Projects: FloodTags NEAT

  • Apr 2016 - Aug 2017

    Software Developer

    FloodTags

    Developed a machine learning-based information extraction system to detect critical information about disasters in news articles. Additionally, started a data visualization website which displays the processed data in real time.

    Projects: FloodTags NEAT, FloodTags Dashboard

  • Sep 2015 - Mar 2016

    Scientific Software Developer

    Radboud University Nijmegen

    Centre for Language and Speech Technologies

    Developed web interfaces and RESTful APIs for several text mining projects.

    Projects: Relevancer, Sinfex

  • Feb 2015 - Jun 2015

    Teaching Asistant

    Muğla Sıtkı Koçman University

    Department of Computer Engineering

    Taught Linux basics, had practical programming sessions for first year computer engineering bachelor students.

  • Jun 2014 - Sep 2014

    Intern

    Radboud University Nijmegen

    Centre for Language and Speech Technologies

    Developed a web interface for a project on event detection from social media on the basis of two PhD studies

    Projects: Lama Events

  • Feb 2013 - Jun 2014

    Android Application Developer

    Muğla Sıtkı Koçman University

    Department of Computer Engineering

    Developed the official Android application of the university, alongside minor web applications for the computer engineering department.

    Projects: MSKU Mobil

Education

Mugla Sitki Kocman Universitesi Logo

Computer Engineering

Muğla Sıtkı Koçman University
Bachelor of Science
2011-2015

Radboud Universiteit Nijmegen Logo

Artificial Intelligence

Radboud University Nijmegen
Master of Science
2015-2017

Projects

Look Who's Talking

Look Who's Talking

Developing long-term engaging chatbots to conduct human-like conversations with humans for two technologically and linguistically diverse domains; smoking cessation and safe sex promotion.


Kon ta bAI?

Kon ta bAI?

Developing a large language model that is able to understand and generate text in the low-resourced Papiamentu language, which has about 350.000 native speakers in the world.


Newspaper Event Analysis Tool

FloodTags NEAT

Newspaper Event Analysis Tool is a machine learning based end-to-end information processing pipeline performs event detection and information extraction to analyse news articles and collect information about natural disasters.


Dialect2Keyword

Dialect2Keyword

A Natural Language Processing application and a web interface to convert words in Dutch dialects into standard Dutch keywords which can be used as the basis for interoperable searches through various dialect dictionaries.


FloodTags Dashboard

FloodTags Dashboard

An online dashboard to monitor online media for flood information. The Dashboard shows what people are saying about floods in the media. This enables online monitoring new developments related to floods.


Relevancer

Relevancer

Relevancer aims at finding a balance between complexity of a tweet data set and expert needs from this data. The process can be summarized as creating a need based classifier without sacrificing precision, information, and time.


Lama Events

Lama Events

Lama Events is a calendar application listing events in the near future. The events are detected and selected by a fully automatic procedure in the Dutch Twitter stream.


\