Marco Del Tredici

Main Info 

Hi, I am Marco, and I am currently working as a Machine Learning Scientist at Cohere. I work with and on Large Language Models, including tasks like: literature review; high-quality data collection; model design, fine-tuning, and deployment; model output analysis; and automatic and human evaluation. In the last months, I have been working in the Retrieval Augmented Generation team, focusing on evaluation.  

Previously, I worked as a Machine Learning Scientist at Amazon Alexa AI,  In Berlin. While in Alexa, I worked on Open Domain Conversational Question Answering and, in particular,  I helped improve models’ capability to engage in human-like, effective conversations. 

I got my PhD candidate at the University of Amsterdam, with Professor Raquel Fernández. My PhD research developed at the crossroads between Natural Language Processing, Social Network Analysis and Dialogue: in practice, I used Machine Learning techniques (especially Neural Networks and Deep Learning architectures) to investigate how people in social networks create, share and spread the meaning of words. 

See my LinkedIn profile here and my Google Scholar profile here.  My email is my name and surname in just one word followed by @gmail.com

News

• November 2023: My interview on Il Venerdì (La Repubblica) with Riccardo Staglianò

• September 2023: Visiting the MilaNLP lab at Bocconi University in Milan. A wonderful week with Dirk Hovy and his group!

• July 2023: ACL in Toronto!

Publication Highlights

• Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, Adrià de Gispert. "Neural ranking with weak supervision for open-domain question answering: A survey". In Findings of the Association for Computational Linguistics: EACL 2023.

• Gianni Barlacchi, Ivano Lauriola, Alessandro Moschitti, Marco Del Tredici, Xiaoyu Shen, Thuy Vu, Bill Byrne, Adrià de Gispert. "FocusQA: Open-domain question answering with a context in focus". In Findings of the Association for Computational Linguistics: EMNLP 2022.

• Marco Del Tredici, Xiaoyu Shen, Gianni Barlacchi, Bill Byrne, Adrià de Gispert, "From Rewriting to Remembering: Common Ground for Conversational QA Models", In Proceedings of the 4th Workshop on NLP for Conversational AI: ACL 2022.

• Marco Del Tredici, Gianni Barlacchi, Xiaoyu Shen, Weiwei Cheng, Adrià de Gispert, "Question rewriting for open-domain conversational qa: Best practices and limitations", In Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021 

• Marco Del Tredici and Raquel Fernández. "Words are the Window to the Soul: Language-based User Representations for Fake News Detection". In Proceedings of the 28th International Conference on Computational Linguistics, 2020.

• Mario Giulianelli, Marco Del Tredici and Raquel Fernández. "Analysing Lexical Semantic Change with Contextualised Word Representations". In Proceedings of ACL 2020.

• Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde and Raquel Fernández. "You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP".  In Proceedings of EMNLP 2019 (Conference on Empirical Methods in Natural Language Processing).

• Mario Giulianelli, Marco Del Tredici and Raquel Fernández, "Lexical Semantic Change Analysis with Contextualised Word Representations". In Proceedings of EurNLP 2019. 

• Dominik Schlechtweg, Anna Hätty, Marco Del Tredici and Sabine Schulte im Walde. "A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains". In Proceedings of ACL 2019 (Annual Conference of the Association for Computational Linguistics)

• Marco Del Tredici, Raquel Fernández and Gemma Boleda. "Short-Term Meaning Shift: A Distributional Exploration". In Proceedings of NAACL-HLT 2019 (Annual Conference of the North American Chapter of the Association for Computational Linguistics). 

• Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis and Ekaterina Shutova. "Abusive Language Detection with Graph Convolutional Networks". In Proceedings of NAACL-HLT 2019 (Annual Conference of the North American Chapter of the Association for Computational Linguistics)

• Marco Del Tredici and Raquel Fernández. "The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities". In Proceedings of the 27th International Conference on Computational Linguistics (COLING), 2018.

• Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis and Ekaterina Shutova. "Author Profiling for Abuse Detection". In Proceedings of the 27th International Conference on Computational Linguistics (COLING), 2018.

• Marco Del Tredici and Raquel Fernández, "Semantic Variation in Online Communities of Practice", In 12th International Conference on Computational Semantics (IWCS), 2017.

• Marco Del Tredici and Nuria Bel, "Assessing the Potential of Metaphoricity of Verbs Using Corpus Data". In Proceedings of Tenth International Conference on Language Resources and Evaluation (LREC), 2016.

• Marco Del Tredici and Nuria Bel, "A Word-Embedding-based Sense Index for Regular Polysemy Representation". In Proceedings of Workshop on Vector Space Modeling for NLP at Naacl 2015.

• Marco Del Tredici and Malvina Nissim, "A Modular System for Rule-based Text Categorization", Proceedings of Eighth International Conference on Language Resources and Evaluation (LREC), 2014.