Marco Del Tredici
Hi, I am Marco, and I am currently working as a Machine Learning Scientist at Amazon.
Previously, I was a PhD candidate at the University of Amsterdam, working at the ILLC with 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.
The day has come: on the 6th of November I will defend my PhD thesis "Linguistic Variation in Online Communities: A Computational Perspective"! You can find the abstract of the thesis here.
The day before my defense, on the 5th of November at 14.30, the symposium "Meaning Variation in Social Contexts" will take place. Several interesting works on the relation between language and society will be presented. You can check the programme of the event at this link.
We got a paper accepted at COLING 2020: Check it out in the section below.
Marco Del Tredici and Raquel Fernández. "Words are the Window to the Soul: Language-based User Representations for Fake News Detection". To appear in Proceedings of COLING 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). [pdf]
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). [pdf]
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). [pdf][code]
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). [pdf]
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. [pdf][code]
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. [pdf]
Marco Del Tredici and Raquel Fernández, "Semantic Variation in Online Communities of Practice", In 12th International Conference on Computational Semantics (IWCS), 2017. [pdf]
Marco Del Tredici, Malvina Nissim and Andrea Zaninello. "Tracing metaphors in time through self-distance in vector spaces." arXiv preprint arXiv:1611.03279, 2016. [pdf]
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. [pdf]
Marco Del Tredici and Alexandra Anna Spalek, "Towards a Methodology for Automatically Clustering Selection Restrictions of Predicates". In Proceedings of the XVII EURALEX International Congress, 2016. [pdf]
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. [pdf]
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. [pdf]
Summer/Fall 2019: Internship in the Amazon Machine Learning Lab in Barcelona.
Summer/Fall 2018: Internship in the Telefónica I+D lab in Barcelona.
Spring 2018: Research visit in Sabine Schulte im Walde's group at the Institute for Natural Language Processing - University of Stuttgart.
Participation to the LOT Winter School 2018 - 8-12 January 2018.
Fall 2017: Research visit in Gemma Boleda's group at Universitat Pompeu Fabra - Barcelona.
Participation to the 7th Lisbon Machine Learning School - 20-27 July 2017.
Co-supervisor of Bachelor final project.
Reviewer for EMNLP 2017.
Reviewer for EACL 2017.
Member of the Organizing committee of ESSLLI 2015.