Categorizing Online Harassment on Twitter. - Mozhgan Saeidi; Samuel Bruno da Silva Sousa; Evangelos E. Milios; Norbert Zeh; Lilian Berton (PKDD/ECML Workshops (2), 2019)

Contextualized Knowledge Base Sense Embeddings in Word Sense Disambiguation. - Mozhgan Saeidi; Evangelos E. Milios; Norbert Zeh (ICDAR Workshops (2), 2021)

Graph Representation Learning in Document Wikification. - Mozhgan Saeidi; Evangelos E. Milios; Norbert Zeh (ICDAR Workshops (2), 2021)

Graph Convolutional Networks for Categorizing Online Harassment on Twitter. - Mozhgan Saeidi; Evangelos E. Milios; Norbert Zeh (ICMLA, 2021)

Contextual Graph Representation Learning in Text Disambiguation. - Mozhgan Saeidi (MLSMKG@PKDD/ECML, 2021)

Biomedical Word Sense Disambiguation with Contextualized Representation Learning. - Mozhgan Saeidi; Evangelos E. Milios; Norbert Zeh (WWW (Companion Volume), 2022)

Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset. - Saeid Alavi Naeini; Raeid Saqur; Mozhgan Saeidi; John M. Giorgi; Babak Taati (NeurIPS, 2023)

MALNIS and EMA3 @ TREC 2023 Clinical Trials Track. - Mozhgan Saeidi; Aman Jaiswal; Abhishek Dhankar; Alan Katz; Evangelos E. Milios (TREC, 2023)

Ruler Wrapping. - Travis Gagie; Mozhgan Saeidi; Allan Sapucaia (Int. J. Comput. Geom. Appl., 2023)

Benchmarks for Physical Reasoning AI. - Andrew Melnik; Robin Schiewer; Moritz Lange; Andrei Ioan Muresanu; Mozhgan Saeidi; Animesh Garg; Helge J. Ritter (Trans. Mach. Learn. Res., 2023)

Context-enhanced concept disambiguation in Wikification. - Mozhgan Saeidi; Kaveh Mahdaviani; Evangelos E. Milios; Norbert Zeh (Intell. Syst. Appl., 2023)

Streamlining Clinical Trial Recruitment: A Two-Stage Zero-Shot LLM Approach with Advanced Prompting. - Mozhgan Saeidi (ML4H@NeurIPS, 2024)