Integrating Shallow and Linguistic Techniques for Information Extraction from Text. - Fabio Ciravegna; Nicola Cancedda (AI*IA, 1995)

A Hybrid Approach to Hypertext Generation. - Nicola Cancedda; Gjertrud Kamstrup; Emanuele Pianta; Ettore Pietrosanti (AI*IA, 1997)

Experiments with Corpus-based LFG Specialization. - Nicola Cancedda; Christer Samuelsson (ANLP, 2000)

Corpus-Based Grammar Specialization. - Nicola Cancedda; Christer Samuelsson (CoNLL/LLL, 2000)

Probabilistic models for PP-attachment resolution and NP analysis. - Éric Gaussier; Nicola Cancedda (CoNLL, 2001)

Learning Computational Grammars. - John Nerbonne; Anja Belz; Nicola Cancedda; Hervé Déjean; James Alistair Hammerton; Rob Koeling; Stasinos Konstantopoulos; Miles Osborne; Franck Thollard; Erik F. Tjong Kim Sang (CoNLL, 2001)

Probabilistic models for terminology extraction and knowledge structuring from documents. - Éric Gaussier; Nicola Cancedda (SMC, 2001)

Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition. - Cyril Goutte; Hervé Déjean; Éric Gaussier; Nicola Cancedda; Jean-Michel Renders (CoNLL, 2002)

Kernel Methods for Document Filtering. - Nicola Cancedda; Cyril Goutte; Jean-Michel Renders; Nicolò Cesa-Bianchi; Alex Conconi; Yaoyong Li; John Shawe-Taylor; Alexei Vinokourov; Thore Graepel; Claudio Gentile (TREC, 2002)

Report on CLEF-2003 Experiments: Two Ways of Extracting Multilingual Resources from Corpora. - Nicola Cancedda; Hervé Déjean; Éric Gaussier; Jean-Michel Renders; Alexei Vinokourov (CLEF, 2003)

Word-Sequence Kernels. - Nicola Cancedda; Éric Gaussier; Cyril Goutte; Jean-Michel Renders (J. Mach. Learn. Res., 2003)

Translating with Non-contiguous Phrases. - Michel Simard; Nicola Cancedda; Bruno Cavestro; Marc Dymetman; Éric Gaussier; Cyril Goutte; Kenji Yamada; Philippe Langlais; Arne Mauser (HLT/EMNLP, 2005)

Une approche à la traduction automatique statistique par segments discontinus. - Michel Simard; Nicola Cancedda; Bruno Cavestro; Marc Dymetman; Éric Gaussier; Cyril Goutte; Philippe Langlais; Arne Mauser; Kenji Yamada (TALN (Articles longs), 2005)

Shaping research from user requirements, and other exotic things... - Nicola Cancedda (EAMT, 2008)

Source-Language Entailment Modeling for Translating Unknown Terms. - Shachar Mirkin; Lucia Specia; Nicola Cancedda; Ido Dagan; Marc Dymetman; Idan Szpektor (ACL/IJCNLP, 2009)

Phrase-Based Statistical Machine Translation as a Traveling Salesman Problem. - Mikhail Zaslavskiy; Marc Dymetman; Nicola Cancedda (ACL/IJCNLP, 2009)

Introduction. - Nicola Cancedda (SMART@EAMT, 2009)

Closing remarks. - Nicola Cancedda (SMART@EAMT, 2009)

Sentence-level confidence estimation for MT. - Lucia Specia; Nicola Cancedda; Marc Dymetman; Craig Saunders; Marco Turchi; Nello Cristianini; Zhuoran Wang; John Shawe-Taylor (SMART@EAMT, 2009)

Estimating the Sentence-Level Quality of Machine Translation Systems. - Lucia Specia; Marco Turchi; Nicola Cancedda; Nello Cristianini; Marc Dymetman (EAMT, 2009)

Complexity-Based Phrase-Table Filtering for Statistical Machine Translation. - Nadi Tomeh; Nicola Cancedda; Marc Dymetman (MTSummit, 2009)

Factored sequence kernels. - Nicola Cancedda; Pierre Mahé (Neurocomputing, 2009)

Machine Translation Using Overlapping Alignments and SampleRank. - Benjamin Roth 001; Andrew McCallum; Marc Dymetman; Nicola Cancedda (AMTA, 2010)

Minimum Error Rate Training by Sampling the Translation Lattice. - Samidh Chatterjee; Nicola Cancedda (EMNLP, 2010)

A Dataset for Assessing Machine Translation Evaluation Metrics. - Lucia Specia; Nicola Cancedda; Marc Dymetman (LREC, 2010)

Intersecting Hierarchical and Phrase-Based Models of Translation: Formal Aspects and Algorithms. - Marc Dymetman; Nicola Cancedda (SSST@COLING, 2010)

Pushing the frontier of Statistical Machine Translation: Preface. - Lucia Specia; Nicola Cancedda (Mach. Transl., 2010)

Cross-Lingual Text Mining. - Nicola Cancedda; Jean-Michel Renders (Encyclopedia of Machine Learning, 2010)

Confidence-Weighted Learning of Factored Discriminative Language Models. - Viet Ha-Thuc; Nicola Cancedda (ACL (2), 2011)

Productive Generation of Compound Words in Statistical Machine Translation. - Sara Stymne; Nicola Cancedda (WMT@EMNLP, 2011)

Private Access to Phrase Tables for Statistical Machine Translation. - Nicola Cancedda (ACL (2), 2012)

Prediction of Learning Curves in Machine Translation. - Prasanth Kolachina; Nicola Cancedda; Marc Dymetman; Sriram Venkatapathy (ACL (1), 2012)

Task-Driven Linguistic Analysis based on an Underspecified Features Representation. - Stasinos Konstantopoulos; Valia Kordoni; Nicola Cancedda; Vangelis Karkaletsis; Dietrich Klakow; Jean-Michel Renders (LREC, 2012)

Assessing quick update methods of statistical translation models. - Shachar Mirkin; Nicola Cancedda (IWSLT, 2013)

Generation of Compound Words in Statistical Machine Translation into Compounding Languages. - Sara Stymne; Nicola Cancedda; Lars Ahrenberg (Comput. Linguistics, 2013)

Fast Domain Adaptation of SMT models without in-Domain Parallel Data. - Prashant Mathur; Sriram Venkatapathy; Nicola Cancedda (COLING, 2014)

Reply With: Proactive Recommendation of Email Attachments. - Christophe Van Gysel; Bhaskar Mitra 001; Matteo Venanzi; Roy Rosemarin; Grzegorz Kukla; Piotr Grudzien; Nicola Cancedda (CIKM, 2017)

Cross-Lingual Text Mining. - Nicola Cancedda; Jean-Michel Renders (Encyclopedia of Machine Learning and Data Mining, 2017)

EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. - Nora Kassner; Fabio Petroni; Mikhail Plekhanov; Sebastian Riedel 001; Nicola Cancedda (EMNLP, 2022)

Multilingual Autoregressive Entity Linking. - Nicola De Cao; Ledell Wu; Kashyap Popat; Mikel Artetxe; Naman Goyal 001; Mikhail Plekhanov; Luke Zettlemoyer; Nicola Cancedda; Sebastian Riedel 001; Fabio Petroni (Trans. Assoc. Comput. Linguistics, 2022)

Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. - Mattia Atzeni; Mikhail Plekhanov; Frédéric A. Dreyer; Nora Kassner; Simone Merello; Louis Martin; Nicola Cancedda (EMNLP, 2023)

Toolformer: Language Models Can Teach Themselves to Use Tools. - Timo Schick; Jane Dwivedi-Yu; Roberto Dessì; Roberta Raileanu; Maria Lomeli; Eric Hambro; Luke Zettlemoyer; Nicola Cancedda; Thomas Scialom (NeurIPS, 2023)

Toolformer: Language Models Can Teach Themselves to Use Tools. - Timo Schick; Jane Dwivedi-Yu; Roberto Dessì; Roberta Raileanu; Maria Lomeli; Luke Zettlemoyer; Nicola Cancedda; Thomas Scialom (CoRR, 2023)

Multilingual End to End Entity Linking. - Mikhail Plekhanov; Nora Kassner; Kashyap Popat; Louis Martin; Simone Merello; Borislav Kozlovskii; Frédéric A. Dreyer; Nicola Cancedda (CoRR, 2023)

Spectral Filters, Dark Signals, and Attention Sinks. - Nicola Cancedda (ACL (1), 2024)

Know When To Stop: A Study of Semantic Drift in Text Generation. - Ava Spataru; Eric Hambro; Elena Voita; Nicola Cancedda (NAACL-HLT, 2024)

PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. - Xinchi Qiu; William F. Shen; Yihong Chen; Nicola Cancedda; Pontus Stenetorp; Nicholas D. Lane (CoRR, 2024)

Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources. - Alisia Maria Lupidi; Carlos Gemmell; Nicola Cancedda; Jane Dwivedi-Yu; Jason Weston; Jakob N. Foerster; Roberta Raileanu; Maria Lomeli (CoRR, 2024)

HalluLens: LLM Hallucination Benchmark. - Yejin Bang; Ziwei Ji 001; Alan Schelten; Anthony Hartshorn; Tara Fowler; Cheng Zhang; Nicola Cancedda; Pascale Fung (ACL (1), 2025)

Robust LLM safeguarding via refusal feature adversarial training. - Lei Yu; Virginie Do; Karen Hambardzumyan; Nicola Cancedda (ICLR, 2025)

LUNAR: LLM Unlearning via Neural Activation Redirection. - William F. Shen; Xinchi Qiu; Meghdad Kurmanji; Alex Iacob; Lorenzo Sani; Yihong Chen; Nicola Cancedda; Nicholas D. Lane (CoRR, 2025)

Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations. - Ziwei Ji 001; Lei Yu; Yeskendir Koishekenov; Yejin Bang; Anthony Hartshorn; Alan Schelten; Cheng Zhang; Pascale Fung; Nicola Cancedda (CoRR, 2025)

Don't Make It Up: Preserving Ignorance Awareness in LLM Fine-Tuning. - William F. Shen; Xinchi Qiu; Nicola Cancedda; Nicholas D. Lane (CoRR, 2025)

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. - Edan Toledo; Karen Hambardzumyan; Martin Josifoski; Rishi Hazra; Nicolas Mario Baldwin; Alexis Audran-Reiss; Michael Kuchnik; Despoina Magka; Minqi Jiang; Alisia Maria Lupidi; Andrei Lupu; Roberta Raileanu; et al. (CoRR, 2025)

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling. - Preslav Aleksandrov; Meghdad Kurmanji; Fernando García-Redondo; David O'Shea; William F. Shen; Alex Iacob; Lorenzo Sani; Xinchi Qiu; Nicola Cancedda; Nicholas D. Lane (CoRR, 2025)