2012 Presidential Elections on Twitter - An Analysis of How the US and French Election were Reflected in Tweets. - Farhad Nooralahzadeh; Viswanathan Arunachalam; Costin-Gabriel Chiru (CSCS, 2013)

Part of Speech Tagging for French Social Media Data. - Farhad Nooralahzadeh; Caroline Brun; Claude Roux (COLING, 2014)

ProVoc : une ontologie pour décrire des produits sur le Web. - Cédric Lopez; Farhad Nooralahzadeh; Elena Cabrio; Frédérique Segond; Fabien Gandon (IC, 2016)

Du TALN au LOD : Extraction d'entités, liage, et visualisation. - Cédric Lopez; Matthieu Osmuk; Dana Popovici; Farhad Nooralahzadeh; Domoina Rabarijaona; Fabien Gandon; Elena Cabrio; Frédérique Segond (IC, 2016)

Adapting Semantic Spreading Activation to Entity Linking in Text. - Farhad Nooralahzadeh; Cédric Lopez; Elena Cabrio; Fabien Gandon; Frédérique Segond (NLDB, 2016)

SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification. - Farhad Nooralahzadeh; Lilja Øvrelid (FEVER@EMNLP, 2018)

Evaluation of Domain-specific Word Embeddings using Knowledge Resources. - Farhad Nooralahzadeh; Lilja Øvrelid; Jan Tore Lønning (LREC, 2018)

SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific Papers. - Farhad Nooralahzadeh; Lilja Øvrelid; Jan Tore Lønning (SemEval@NAACL-HLT, 2018)

Syntactic Dependency Representations in Neural Relation Classification. - Farhad Nooralahzadeh; Lilja Øvrelid (CoRR, 2018)

Reinforcement-based denoising of distantly supervised NER with partial annotation. - Farhad Nooralahzadeh; Jan Tore Lønning; Lilja Øvrelid (DeepLo@EMNLP-IJCNLP, 2019)

Zero-Shot Cross-Lingual Transfer with Meta Learning. - Farhad Nooralahzadeh; Giannis Bekoulis; Johannes Bjerva; Isabelle Augenstein (EMNLP (1), 2020)

Low-Resource Adaptation of Neural NLP Models. - Farhad Nooralahzadeh (CoRR, 2020)

Progressive Transformer-Based Generation of Radiology Reports. - Farhad Nooralahzadeh; Nicolas Perez Gonzalez; Thomas Frauenfelder; Koji Fujimoto; Michael Krauthammer (EMNLP (Findings), 2021)

Leveraging Token-Based Concept Information and Data Augmentation in Few-Resource NER: ZuKyo-EN at the NTCIR-16 Real-MedNLP task. - Joseph Cornelius; Oscar Lithgow-Serrano; Vani Kanjirangat; Fabio Rinaldi 001; Koji Fujimoto; Mizuho Nishio; Osamu Sugiyama; Kana Ichikawa; Farhad Nooralahzadeh; Aron N. Horvath; Michael Krauthammer (NTCIR, 2022)

Approach for Named Entity Recognition and Case Identification Implemented by ZuKyo-JA Sub-team at the NTCIR-16 Real-MedNLP Task. - Koji Fujimoto; Mizuho Nishio; Osamu Sugiyama; Kana Ichikawa; Joseph Cornelius; Oscar Lithgow-Serrano; Vani Kanjirangat; Fabio Rinaldi 001; Aron N. Horvath; Farhad Nooralahzadeh; Michael Krauthammer (NTCIR, 2022)

Improving the Cross-Lingual Generalisation in Visual Question Answering. - Farhad Nooralahzadeh; Rico Sennrich (AAAI, 2023)

Boosting Radiology Report Generation by Infusing Comparison Prior. - Sanghwan Kim; Farhad Nooralahzadeh; Morteza Rohanian; Koji Fujimoto; Mizuho Nishio; Ryo Sakamoto; Fabio Rinaldi 001; Michael Krauthammer (BioNLP@ACL, 2023)

Disfluent Cues for Enhanced Speech Understanding in Large Language Models. - Morteza Rohanian; Farhad Nooralahzadeh; Omid Rohanian; David A. Clifton; Michael Krauthammer (EMNLP (Findings), 2023)

Classification of cancer TNM stage from Japanese radiology report using on-premise LLM at NTCIR-17 MedNLP-SC RR-TNM subtask. - Koji Fujimoto; Mizuho Nishio; Chikako Tanaka; Morteza Rohanian; Farhad Nooralahzadeh; Michael Krauthammer; Fabio Rinaldi 001 (NTCIR, 2023)

Zero-shot classification of TNM staging for Japanese radiology report using ChatGPT at RR-TNM subtask of NTCIR-17 MedNLP-SC. - Mizuho Nishio; Hidetoshi Matsuo; Takaaki Matsunaga; Koji Fujimoto; Morteza Rohanian; Farhad Nooralahzadeh; Fabio Rinaldi 001; Michael Krauthammer (NTCIR, 2023)

Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III. - Aron N. Horvath; Matteo Berchier; Farhad Nooralahzadeh; Ahmed Allam; Michael Krauthammer (CoRR, 2023)

Radiology-Aware Model-Based Evaluation Metric for Report Generation. - Amos Calamida; Farhad Nooralahzadeh; Morteza Rohanian; Koji Fujimoto; Mizuho Nishio; Michael Krauthammer (CoRR, 2023)

StatBot.Swiss: Bilingual Open Data Exploration in Natural Language. - Farhad Nooralahzadeh; Yi Zhang 142; Ellery Smith; Sabine Maennel; Cyril Matthey-Doret; Raphaël de Fondeville; Kurt Stockinger (ACL (Findings), 2024)

Exploring the effectiveness of instruction tuning in biomedical language processing. - Omid Rohanian; Mohammadmahdi Nouriborji; Samaneh Kouchaki; Farhad Nooralahzadeh; Lei A. Clifton; David A. Clifton (Artif. Intell. Medicine, 2024)

Explainable Multi-Modal Data Exploration in Natural Language via LLM Agent. - Farhad Nooralahzadeh; Yi Zhang 142; Jonathan Fürst; Kurt Stockinger (CoRR, 2024)

Evaluating the effectiveness of prompt engineering for knowledge graph question answering. - Catherine Kosten; Farhad Nooralahzadeh; Kurt Stockinger (Frontiers Artif. Intell., 2024)

Lightweight transformers for clinical natural language processing. - Omid Rohanian; Mohammadmahdi Nouriborji; Hannah Jauncey; Samaneh Kouchaki; Farhad Nooralahzadeh; Lei A. Clifton; Laura Merson; David A. Clifton (Nat. Lang. Eng., 2024)

Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries. - Jonathan Fürst; Catherine Kosten; Farhad Nooralahzadeh; Yi Zhang 142; Kurt Stockinger (EDBT, 2025)

RadVLM: A Multitask Conversational Vision-Language Model for Radiology. - Nicolas Deperrois; Hidetoshi Matsuo; Samuel Ruipérez-Campillo; Moritz Vandenhirtz; Sonia Laguna; Alain Ryser; Koji Fujimoto; Mizuho Nishio; Thomas M. Sutter; Julia E. Vogt; Jonas Kluckert; Thomas Frauenfelder; et al. (CoRR, 2025)

Uncertainty Modeling in Multimodal Speech Analysis Across the Psychosis Spectrum. - Morteza Rohanian; Roya M. Hüppi; Farhad Nooralahzadeh; Noemi Dannecker; Yves Pauli; Werner Surbeck; Iris Sommer; Wolfram Hinzen; Nicolas Langer; Michael Krauthammer; Philipp Homan (CoRR, 2025)

Towards Scalable and Cross-Lingual Specialist Language Models for Oncology. - Morteza Rohanian; Tarun Mehra; Nicola Miglino; Farhad Nooralahzadeh; Michael Krauthammer; Andreas Wicki (CoRR, 2025)

Leveraging the Structure of Medical Data for Improved Representation Learning. - Andrea Agostini; Sonia Laguna; Alain Ryser; Samuel Ruipérez-Campillo; Moritz Vandenhirtz; Nicolas Deperrois; Farhad Nooralahzadeh; Michael Krauthammer; Thomas M. Sutter; Julia E. Vogt (CoRR, 2025)