Dr Diego Moussallem

Data Science / Heinz Nixdorf Institut

Postdoc

Diego Moussallem untersucht Lösungen, die Wissensgraphen für Aufgaben der natürlichen Sprachverarbeitung nutzen.

Publikationen

Aktuelle Publikationen

ESLM: Improving Entity Summarization by Leveraging Language Models

A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: The Semantic Web, Springer Nature Switzerland, Cham, 2024.


Enhancing Relation Extraction Through Augmented Data: Large Language Models Unleashed

A. Manzoor, M. Sohail Nisar, S. Muhammad, D. Moussallem, A.-C. Ngonga Ngomo, in: NLDB24, Springer International Publishing, 2024.


Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting

H.M.A. Zahera, A. Manzoor, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo, in: SEMANTiCS, Amsterdam, Netherlands, 2024.


AutoCL: AutoML for Concept Learning

J. Li, S. Satheesh, S. Heindorf, D. Moussallem, R. Speck, A.-C. Ngonga Ngomo, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2024.


IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains

R.H. Gusmita, M.F.A. Abshar, D. Moussallem, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.


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Weitere Informationen

Summary

Diego is a computer scientist native from Brazil (at Rio de Janeiro). He has been living in Germany since 2015, where is a Ph.D. candidate at Leipzig and Paderborn Universities. He obtained his high school diploma in 2006 and he received his bachelor in Information Systems at UVA (Veiga de Almeida University) in 2011. He was awarded a Master of Science in Machine Translation at IME (Military Institute of Engineering) in 2014, Brazil. His main research topics are machine translation, natural language generation, information extraction, and knowledge graphs. He also has experience in the development of websites and softwares for business and open source projects using languages such as Java, Python, Html5, CSS, C++, PHP.