Saad Mahamood
Scholar

Saad Mahamood

Google Scholar ID: VkW5WPEAAAAJ
Shopware
Natural Language GenerationData-to-text systemsEvaluationNatural Language Processing
Citations & Impact
All-time
Citations
1,130
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
34
list available
Resume (English only)
Academic Achievements
  • Eduardo Calò, Lydia Penkert, Saad Mahamood (2025). Lessons from a User Experience Evaluation of NLP Interfaces. To appear in the findings of NAACL 2025.
  • Patrícia Schmidtová, Saad Mahamood, Simone Balloccu et al. (2024). Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices. Proceedings of INLG 2024. (Awarded Best Evaluation Paper)
  • Srinivas Ramesh Kamath, Fahime Same, Saad Mahamood (2024). Generating Hotel Highlights from Unstructured Text using LLMs. Proceedings of INLG 2024.
  • Marcel Nawrath, Agnieszka Nowak, Tristan Ratz et al. (2024). On the Role of Summary Content Units in Text Summarization Evaluation. Published at NAACL 2024.
  • Saad Mahamood (2024). ReproHum #0124-03: Reproducing Human Evaluations of end-to-end approaches for Referring Expression Generation. Published at HumEval '24 at LREC-COLING 2024.
  • Saad Mahamood (2023). Reproduction of Human Evaluations in: “It’s not Rocket Science: Interpreting Figurative Language in Narratives”. Published at HumEval '23.
  • Lining Zhang, João Sedoc, Simon Mille et al. (2023). Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization. Proceedings of ACL 2023.
  • Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann et al. (2023). NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. Northern European Journal of Language Technology (NEJLT).
  • Emiel van Miltenburg, Miruna Clinciu, Ondřej Dušek et al. (2023). Barriers and enabling factors for error analysis in NLG research. Northern European Journal of Language Technology (NEJLT).
Research Experience
  • Elected to serve on the board for the ACL Special Interest Group for Natural Language Generation (SIGGEN) since January 2025; helps maintain the open source SimpleNLG realiser project on GitHub.
Background
  • AI Lead with expertise in natural language generation; working remotely for Shopware in Düsseldorf, Germany; leads a team of data scientists to build meaningful applied solutions, while actively participating in research.
Miscellany
  • Can be found online on Bluesky or LinkedIn.