Nicola Cancedda

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 12

Top Topics

Top Venues

Publications

Nicola Cancedda
Spectral Filters, Dark Signals, and Attention Sinks. CoRR (2024)
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 (2023)
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 (2023)
Mattia Atzeni, Mikhail Plekhanov, Frédéric 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)
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)
Mikhail Plekhanov, Nora Kassner, Kashyap Popat, Louis Martin, Simone Merello, Borislav Kozlovskii, Frédéric A. Dreyer, Nicola Cancedda
Multilingual End to End Entity Linking. CoRR (2023)
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 (2022)
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)
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 (2022)
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 (2021)
Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda
Reply With: Proactive Recommendation of Email Attachments. CoRR (2017)
Christophe Van Gysel, Bhaskar Mitra, Matteo Venanzi, Roy Rosemarin, Grzegorz Kukla, Piotr Grudzien, Nicola Cancedda
Reply With: Proactive Recommendation of Email Attachments. CIKM (2017)
Prashant Mathur, Sriram Venkatapathy, Nicola Cancedda
Fast Domain Adaptation of SMT models without in-Domain Parallel Data. COLING (2014)
Sara Stymne, Nicola Cancedda, Lars Ahrenberg
Generation of Compound Words in Statistical Machine Translation into Compounding Languages. Comput. Linguistics 39 (4) (2013)
Shachar Mirkin, Nicola Cancedda
Assessing quick update methods of statistical translation models. IWSLT (2013)
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)
Prasanth Kolachina, Nicola Cancedda, Marc Dymetman, Sriram Venkatapathy
Prediction of Learning Curves in Machine Translation. ACL (1) (2012)
Nicola Cancedda
Private Access to Phrase Tables for Statistical Machine Translation. ACL (2) (2012)
Sara Stymne, Nicola Cancedda
Productive Generation of Compound Words in Statistical Machine Translation. WMT@EMNLP (2011)
Viet Ha-Thuc, Nicola Cancedda
Confidence-Weighted Learning of Factored Discriminative Language Models. ACL (2) (2011)
Lucia Specia, Nicola Cancedda, Marc Dymetman
A Dataset for Assessing Machine Translation Evaluation Metrics. LREC (2010)
Marc Dymetman, Nicola Cancedda
Intersecting Hierarchical and Phrase-Based Models of Translation: Formal Aspects and Algorithms. SSST@COLING (2010)
Benjamin Roth, Andrew McCallum, Marc Dymetman, Nicola Cancedda
Machine Translation Using Overlapping Alignments and SampleRank. AMTA (2010)
Lucia Specia, Nicola Cancedda
Pushing the frontier of Statistical Machine Translation: Preface. Mach. Transl. 24 (2) (2010)
Samidh Chatterjee, Nicola Cancedda
Minimum Error Rate Training by Sampling the Translation Lattice. EMNLP (2010)
Nadi Tomeh, Nicola Cancedda, Marc Dymetman
Complexity-Based Phrase-Table Filtering for Statistical Machine Translation. MTSummit (2009)
Shachar Mirkin, Lucia Specia, Nicola Cancedda, Ido Dagan, Marc Dymetman, Idan Szpektor
Source-Language Entailment Modeling for Translating Unknown Terms. ACL/IJCNLP (2009)
Nicola Cancedda, Pierre Mahé
Factored sequence kernels. Neurocomputing 72 (7-9) (2009)
Nicola Cancedda
Closing remarks. SMART@EAMT (2009)
Nicola Cancedda
Introduction. SMART@EAMT (2009)
Lucia Specia, Marco Turchi, Nicola Cancedda, Nello Cristianini, Marc Dymetman
Estimating the Sentence-Level Quality of Machine Translation Systems. EAMT (2009)
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)
Mikhail Zaslavskiy, Marc Dymetman, Nicola Cancedda
Phrase-Based Statistical Machine Translation as a Traveling Salesman Problem. ACL/IJCNLP (2009)
Pierre Mahé, Nicola Cancedda
Factored sequence kernels. ESANN (2008)
Nicola Cancedda
Shaping research from user requirements, and other exotic things... EAMT (2008)
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)
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)
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)
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)
Nicola Cancedda, Éric Gaussier, Cyril Goutte, Jean-Michel Renders
Word-Sequence Kernels. J. Mach. Learn. Res. 3 (2003)
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)
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)
John Nerbonne, Anja Belz, Nicola Cancedda, Hervé Déjean, James Hammerton, Rob Koeling, Stasinos Konstantopoulos, Miles Osborne, Franck Thollard, Erik F. Tjong Kim Sang
Learning Computational Grammars. CoNLL (2001)
John Nerbonne, Anja Belz, Nicola Cancedda, Hervé Déjean, James Hammerton, Rob Koeling, Stasinos Konstantopoulos, Miles Osborne, Franck Thollard, Erik F. Tjong Kim Sang
Learning Computational Grammars CoRR (2001)
Éric Gaussier, Nicola Cancedda
Probabilistic models for PP-attachment resolution and NP analysis. CoNLL (2001)
Éric Gaussier, Nicola Cancedda
Probabilistic models for terminology extraction and knowledge structuring from documents. SMC (2001)
Nicola Cancedda, Christer Samuelsson
Experiments with Corpus-based LFG Specialization. ANLP (2000)
Nicola Cancedda, Christer Samuelsson
Corpus-Based Grammar Specialization. CoNLL/LLL (2000)
Nicola Cancedda, Gjertrud Kamstrup, Emanuele Pianta, Ettore Pietrosanti
A Hybrid Approach to Hypertext Generation. AI*IA (1997)
Fabio Ciravegna, Nicola Cancedda
Integrating Shallow and Linguistic Techniques for Information Extraction from Text. AI*IA (1995)