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ORCIDNicola Cancedda
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2020 – today
- 2024
[c39]Nicola Cancedda:
Spectral Filters, Dark Signals, and Attention Sinks. ACL (1) 2024: 4792-4808- [c38]Ava Spataru, Eric Hambro, Elena Voita, Nicola Cancedda:
Know When To Stop: A Study of Semantic Drift in Text Generation. NAACL-HLT 2024: 3656-3671 - [i12]Nicola Cancedda:
Spectral Filters, Dark Signals, and Attention Sinks. CoRR abs/2402.09221 (2024) - [i11]Ava Spataru, Eric Hambro, Elena Voita, Nicola Cancedda:
Know When To Stop: A Study of Semantic Drift in Text Generation. CoRR abs/2404.05411 (2024) - [i10]Xinchi Qiu, William F. Shen, Yihong Chen, Nicola Cancedda, Pontus Stenetorp, Nicholas D. Lane:
PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. CoRR abs/2406.16810 (2024) - [i9]Alisia Lupidi, Carlos Gemmell, Nicola Cancedda, Jane Dwivedi-Yu, Jason Weston, Jakob Foerster, Roberta Raileanu, Maria Lomeli:
Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources. CoRR abs/2409.08239 (2024) - [i8]Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola Cancedda:
Robust LLM safeguarding via refusal feature adversarial training. CoRR abs/2409.20089 (2024) - 2023
- [c37]Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda:
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. EMNLP 2023: 9129-9146 - [c36]Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom:
Toolformer: Language Models Can Teach Themselves to Use Tools. NeurIPS 2023 - [i7]Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom:
Toolformer: Language Models Can Teach Themselves to Use Tools. CoRR abs/2302.04761 (2023) - [i6]Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda:
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. CoRR abs/2305.12027 (2023) - [i5]Mikhail Plekhanov, Nora Kassner, Kashyap Popat, Louis Martin, Simone Merello, Borislav Kozlovskii, Frédéric A. Dreyer, Nicola Cancedda:
Multilingual End to End Entity Linking. CoRR abs/2306.08896 (2023) - 2022
- [j5]Nicola De Cao
, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni:
Multilingual Autoregressive Entity Linking. Trans. Assoc. Comput. Linguistics 10: 274-290 (2022) - [c35]Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda:
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. EMNLP 2022: 8659-8673 - [i4]Nora Kassner, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, Nicola Cancedda:
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. CoRR abs/2205.12570 (2022) - 2021
- [i3]Nicola De Cao, Ledell Wu, Kashyap Popat, Mikel Artetxe, Naman Goyal, Mikhail Plekhanov, Luke Zettlemoyer, Nicola Cancedda, Sebastian Riedel, Fabio Petroni:
Multilingual Autoregressive Entity Linking. CoRR abs/2103.12528 (2021)
2010 – 2019
- 2017
- [c34]Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda:
Reply With: Proactive Recommendation of Email Attachments. CIKM 2017: 327-336 - [r2]Nicola Cancedda, Jean-Michel Renders:
Cross-Lingual Text Mining. Encyclopedia of Machine Learning and Data Mining 2017: 299-306 - [i2]Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda:
Reply With: Proactive Recommendation of Email Attachments. CoRR abs/1710.06061 (2017) - 2014
- [c33]Prashant Mathur, Sriram Venkatapathy, Nicola Cancedda:
Fast Domain Adaptation of SMT models without in-Domain Parallel Data. COLING 2014: 1114-1123 - 2013
- [j4]Sara Stymne, Nicola Cancedda, Lars Ahrenberg:
Generation of Compound Words in Statistical Machine Translation into Compounding Languages. Comput. Linguistics 39(4): 1067-1108 (2013) - [c32]Shachar Mirkin, Nicola Cancedda:
Assessing quick update methods of statistical translation models. IWSLT 2013 - 2012
- [c31]Prasanth Kolachina, Nicola Cancedda, Marc Dymetman, Sriram Venkatapathy:
Prediction of Learning Curves in Machine Translation. ACL (1) 2012: 22-30 - [c30]Nicola Cancedda:
Private Access to Phrase Tables for Statistical Machine Translation. ACL (2) 2012: 23-27 - [c29]Stasinos Konstantopoulos, Valia Kordoni, Nicola Cancedda, Vangelis Karkaletsis, Dietrich Klakow, Jean-Michel Renders:
Task-Driven Linguistic Analysis based on an Underspecified Features Representation. LREC 2012: 1966-1970 - 2011
- [c28]Viet Ha-Thuc, Nicola Cancedda:
Confidence-Weighted Learning of Factored Discriminative Language Models. ACL (2) 2011: 439-444 - [c27]Sara Stymne, Nicola Cancedda:
Productive Generation of Compound Words in Statistical Machine Translation. WMT@EMNLP 2011: 250-260 - 2010
- [j3]Lucia Specia, Nicola Cancedda:
Pushing the frontier of Statistical Machine Translation: Preface. Mach. Transl. 24(2): 67-69 (2010) - [c26]Benjamin Roth, Andrew McCallum, Marc Dymetman, Nicola Cancedda:
Machine Translation Using Overlapping Alignments and SampleRank. AMTA 2010 - [c25]Samidh Chatterjee, Nicola Cancedda:
Minimum Error Rate Training by Sampling the Translation Lattice. EMNLP 2010: 606-615 - [c24]Lucia Specia, Nicola Cancedda, Marc Dymetman:
A Dataset for Assessing Machine Translation Evaluation Metrics. LREC 2010 - [c23]Marc Dymetman, Nicola Cancedda:
Intersecting Hierarchical and Phrase-Based Models of Translation: Formal Aspects and Algorithms. SSST@COLING 2010: 1-9 - [r1]Nicola Cancedda, Jean-Michel Renders:
Cross-Lingual Text Mining. Encyclopedia of Machine Learning 2010: 243-249
2000 – 2009
- 2009
- [j2]Nicola Cancedda, Pierre Mahé:
Factored sequence kernels. Neurocomputing 72(7-9): 1407-1413 (2009) - [c22]Mikhail Zaslavskiy, Marc Dymetman, Nicola Cancedda:
Phrase-Based Statistical Machine Translation as a Traveling Salesman Problem. ACL/IJCNLP 2009: 333-341 - [c21]Shachar Mirkin, Lucia Specia, Nicola Cancedda, Ido Dagan, Marc Dymetman, Idan Szpektor:
Source-Language Entailment Modeling for Translating Unknown Terms. ACL/IJCNLP 2009: 791-799 - [c20]Nicola Cancedda:
Introduction. SMART@EAMT 2009 - [c19]Nicola Cancedda:
Closing remarks. SMART@EAMT 2009 - [c18]Lucia Specia, Nicola Cancedda, Marc Dymetman, Craig Saunders, Marco Turchi, Nello Cristianini, Zhuoran Wang, John Shawe-Taylor:
Sentence-level confidence estimation for MT. SMART@EAMT 2009 - [c17]Lucia Specia, Marco Turchi, Nicola Cancedda, Nello Cristianini, Marc Dymetman:
Estimating the Sentence-Level Quality of Machine Translation Systems. EAMT 2009 - [c16]Nadi Tomeh, Nicola Cancedda, Marc Dymetman:
Complexity-Based Phrase-Table Filtering for Statistical Machine Translation. MTSummit 2009 - 2008
- [c15]Nicola Cancedda:
Shaping research from user requirements, and other exotic things... EAMT 2008 - [c14]Pierre Mahé, Nicola Cancedda:
Factored sequence kernels. ESANN 2008: 409-414 - 2005
- [c13]Michel Simard, Nicola Cancedda, Bruno Cavestro, Marc Dymetman, Éric Gaussier, Cyril Goutte, Kenji Yamada, Philippe Langlais, Arne Mauser:
Translating with Non-contiguous Phrases. HLT/EMNLP 2005: 755-762 - [c12]Michel Simard, Nicola Cancedda, Bruno Cavestro, Marc Dymetman, Éric Gaussier, Cyril Goutte, Philippe Langlais, Arne Mauser, Kenji Yamada:
Une approche à la traduction automatique statistique par segments discontinus. TALN (Articles longs) 2005: 231-240 - 2003
- [j1]Nicola Cancedda, Éric Gaussier, Cyril Goutte, Jean-Michel Renders:
Word-Sequence Kernels. J. Mach. Learn. Res. 3: 1059-1082 (2003) - [c11]Nicola Cancedda, Hervé Déjean, Éric Gaussier, Jean-Michel Renders, Alexei Vinokourov:
Report on CLEF-2003 Experiments: Two Ways of Extracting Multilingual Resources from Corpora. CLEF 2003: 98-107 - [c10]Nicola Cancedda, Hervé Déjean, Éric Gaussier, Jean-Michel Renders, Alexei Vinokourov:
Report on CLEF-2003 Experiments: Two Ways of Extracting Multilingual Resources from Corpora. CLEF (Working Notes) 2003 - 2002
- [c9]Cyril Goutte, Hervé Déjean, Éric Gaussier, Nicola Cancedda, Jean-Michel Renders:
Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition. CoNLL 2002 - [c8]Nicola Cancedda, Cyril Goutte, Jean-Michel Renders, Nicolò Cesa-Bianchi, Alex Conconi, Yaoyong Li, John Shawe-Taylor, Alexei Vinokourov, Thore Graepel, Claudio Gentile:
Kernel Methods for Document Filtering. TREC 2002 - 2001
- [c7]Éric Gaussier, Nicola Cancedda:
Probabilistic models for PP-attachment resolution and NP analysis. CoNLL 2001 - [c6]John Nerbonne, Anja Belz, Nicola Cancedda, Hervé Déjean, James Alistair Hammerton, Rob Koeling, Stasinos Konstantopoulos, Miles Osborne, Franck Thollard, Erik F. Tjong Kim Sang:
Learning Computational Grammars. CoNLL 2001 - [c5]Éric Gaussier, Nicola Cancedda:
Probabilistic models for terminology extraction and knowledge structuring from documents. SMC 2001: 945-950 - [i1]John Nerbonne, Anja Belz, Nicola Cancedda, Hervé Déjean, James Alistair Hammerton, Rob Koeling, Stasinos Konstantopoulos, Miles Osborne, Franck Thollard, Erik F. Tjong Kim Sang:
Learning Computational Grammars. CoRR cs.CL/0107017 (2001) - 2000
- [c4]Nicola Cancedda, Christer Samuelsson:
Experiments with Corpus-based LFG Specialization. ANLP 2000: 204-209 - [c3]Nicola Cancedda, Christer Samuelsson:
Corpus-Based Grammar Specialization. CoNLL/LLL 2000: 7-12
1990 – 1999
- 1997
- [c2]Nicola Cancedda, Gjertrud Kamstrup, Emanuele Pianta, Ettore Pietrosanti:
A Hybrid Approach to Hypertext Generation. AI*IA 1997: 321-333 - 1995
- [c1]Fabio Ciravegna, Nicola Cancedda:
Integrating Shallow and Linguistic Techniques for Information Extraction from Text. AI*IA 1995: 127-138
Coauthor Index
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last updated on 2025-01-21 00:19 CET by the dblp team
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