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2020 – today
- 2024
[j20]Noemi Scarpato
, Aria Nourbakhsh, Patrizia Ferroni, Silvia Riondino, Mario Roselli, Francesca Fallucchi, Piero Barbanti, Fiorella Guadagni, Fabio Massimo Zanzotto:
Evaluating Explainable Machine Learning Models for Clinicians. Cogn. Comput. 16(4): 1436-1446 (2024)- [j19]Noemi Scarpato, Silvia Riondino, Aria Nourbakhsh, Mario Roselli, Patrizia Ferroni, Fiorella Guadagni, Fabio Massimo Zanzotto:
Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients. Expert Syst. Appl. 256: 124859 (2024) - [c92]Michele Mastromattei, Fabio Massimo Zanzotto:
Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language Models. ACL (Findings) 2024: 11361-11374 - [c91]Federico Ranaldi, Elena Sofia Ruzzetti, Dario Onorati, Leonardo Ranaldi, Cristina Giannone, Andrea Favalli, Raniero Romagnoli, Fabio Massimo Zanzotto:
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL translation. ACL (Findings) 2024: 13909-13920 - [c90]Leonardo Ranaldi, Giulia Pucci, Federico Ranaldi, Elena Sofia Ruzzetti, Fabio Massimo Zanzotto:
A Tree-of-Thoughts to Broaden Multi-step Reasoning across Languages. NAACL-HLT (Findings) 2024: 1229-1241 - [c89]Leonardo Ranaldi, Fabio Massimo Zanzotto:
HANS, are you clever? Clever Hans Effect Analysis of Neural Systems. *SEM@NAACL 2024: 314-325 - [c88]Leonardo Ranaldi, Elena Sofia Ruzzetti, Davide Venditti, Dario Onorati, Fabio Massimo Zanzotto:
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models. *SEM@NAACL 2024: 372-384 - [i22]Michele Mastromattei, Fabio Massimo Zanzotto:
Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language Models. CoRR abs/2402.03142 (2024) - [i21]Federico Ranaldi, Elena Sofia Ruzzetti, Dario Onorati, Leonardo Ranaldi, Cristina Giannone, Andrea Favalli, Raniero Romagnoli, Fabio Massimo Zanzotto:
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation. CoRR abs/2402.08100 (2024) - [i20]Michele Mastromattei, Fabio Massimo Zanzotto:
Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection. CoRR abs/2406.02338 (2024) - [i19]Davide Venditti, Elena Sofia Ruzzetti, Giancarlo A. Xompero, Cristina Giannone, Andrea Favalli, Raniero Romagnoli, Fabio Massimo Zanzotto:
Enhancing Data Privacy in Large Language Models through Private Association Editing. CoRR abs/2406.18221 (2024) - [i18]Michele Miranda, Elena Sofia Ruzzetti, Andrea Santilli, Fabio Massimo Zanzotto, Sébastien Bratières, Emanuele Rodolà:
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions. CoRR abs/2408.05212 (2024) - [i17]Leonardo Ranaldi, Giulia Pucci, Fabio Massimo Zanzotto:
Animate, or Inanimate, That is the Question for Large Language Models. CoRR abs/2408.06332 (2024) - 2023
- [c87]Fabio Massimo Zanzotto, Emanuela Bizzarri, Daniele Pasquazi:
Do Not Ask What Instruction-Following Large Language Models Can Do for Teaching (short paper). AIxEDU@AI*IA 2023 - [c86]Flavia Achena, David Preti, Davide Venditti, Leonardo Ranaldi, Cristina Giannone, Fabio Massimo Zanzotto, Andrea Favalli, Raniero Romagnoli:
Legal Summarization: to Each Court its Own Model. CLiC-it 2023 - [c85]Giulia Pucci, Leonardo Ranaldi, Fabio Massimo Zanzotto:
Are All Languages Equal? Curriculum Learning over Different Languages. CLiC-it 2023 - [c84]Leonardo Ranaldi, Giulia Pucci, Elena Sofia Ruzzetti, Fabio Massimo Zanzotto, André Freitas:
Teasing LLMs Adapted to Italian. CLiC-it 2023 - [c83]Federico Ranaldi, Elena Sofia Ruzzetti, Leonardo Ranaldi, Davide Venditti, Cristina Giannone, Andrea Favalli, Raniero Romagnoli, Fabio Massimo Zanzotto:
Prompting LLMs in Italian Language for Text-to-SQL Translation. CLiC-it 2023 - [c82]Elena Sofia Ruzzetti, Dario Onorati, Leonardo Ranaldi, Davide Venditti, Fabio Massimo Zanzotto:
Investigating Gender Bias in Large Language Models for the Italian Language. CLiC-it 2023 - [c81]Dario Onorati, Elena Sofia Ruzzetti, Davide Venditti, Leonardo Ranaldi, Fabio Massimo Zanzotto:
Measuring bias in Instruction-Following models with P-AT. EMNLP (Findings) 2023: 8006-8034 - [c80]Elena Sofia Ruzzetti, Federico Ranaldi, Felicia Logozzo, Michele Mastromattei, Leonardo Ranaldi, Fabio Massimo Zanzotto:
Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages. EMNLP (Findings) 2023: 14447-14461 - [c79]Leonardo Ranaldi, Giulia Pucci, Fabio Massimo Zanzotto:
Modeling Easiness for Training Transformers with Curriculum Learning. RANLP 2023: 937-948 - [c78]Leonardo Ranaldi, Aria Nourbakhsh, Elena Sofia Ruzzetti, Arianna Patrizi, Dario Onorati, Michele Mastromattei, Francesca Fallucchi, Fabio Massimo Zanzotto:
The Dark Side of the Language: Pre-trained Transformers in the DarkNet. RANLP 2023: 949-960 - [c77]Leonardo Ranaldi, Elena Sofia Ruzzetti, Fabio Massimo Zanzotto:
PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models. RANLP 2023: 961-967 - [c76]Dario Onorati, Leonardo Ranaldi, Aria Nourbakhsh, Arianna Patrizi, Elena Sofia Ruzzetti, Michele Mastromattei, Francesca Fallucchi, Fabio Massimo Zanzotto:
The Dark Side of the Language: Syntax-Based Neural Networks Rivaling Transformers in Definitely Unseen Sentences. WI/IAT 2023: 111-118 - [i16]Federico Ranaldi, Elena Sofia Ruzzetti, Felicia Logozzo, Michele Mastromattei, Leonardo Ranaldi, Fabio Massimo Zanzotto:
Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages. CoRR abs/2305.02215 (2023) - [i15]Leonardo Ranaldi, Elena Sofia Ruzzetti, Fabio Massimo Zanzotto:
PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models. CoRR abs/2305.04673 (2023) - [i14]Leonardo Ranaldi, Elena Sofia Ruzzetti, Davide Venditti, Dario Onorati, Fabio Massimo Zanzotto:
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models. CoRR abs/2305.13862 (2023) - [i13]Leonardo Ranaldi, Fabio Massimo Zanzotto:
Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts. CoRR abs/2311.08097 (2023) - 2022
- [j18]Leonardo Ranaldi, Francesca Fallucchi, Fabio Massimo Zanzotto:
Dis-Cover AI Minds to Preserve Human Knowledge. Future Internet 14(1): 10 (2022) - [j17]Leonardo Ranaldi, Federico Ranaldi, Francesca Fallucchi, Fabio Massimo Zanzotto:
Shedding Light on the Dark Web: Authorship Attribution in Radical Forums. Inf. 13(9): 435 (2022) - [j16]Michele Mastromattei, Leonardo Ranaldi, Francesca Fallucchi, Fabio Massimo Zanzotto:
Syntax and prejudice: ethically-charged biases of a syntax-based hate speech recognizer unveiled. PeerJ Comput. Sci. 8: e859 (2022) - [c75]Elena Sofia Ruzzetti, Leonardo Ranaldi, Michele Mastromattei, Francesca Fallucchi, Noemi Scarpato, Fabio Massimo Zanzotto:
Lacking the Embedding of a Word? Look it up into a Traditional Dictionary. ACL (Findings) 2022: 2651-2662 - [c74]Leonardo Ranaldi, Michele Petito, Marco Gerardi, Francesca Fallucchid, Fabio Massimo Zanzotto:
Machine Learning Techniques for Italian Phishing Detection. ITASEC 2022: 181-194 - [c73]Leonardo Ranaldi, Aria Nourbakhsh, Francesca Fallucchid, Fabio Massimo Zanzotto:
C-OSINT: COVID-19 Open Source Artificial INTelligence Framework. ITASEC 2022: 219-235 - [c72]Michele Mastromattei, Valerio Basile, Fabio Massimo Zanzotto:
Change My Mind: How Syntax-based Hate Speech Recognizer Can Uncover Hidden Motivations Based on Different Viewpoints. NLPerspectives@LREC 2022: 117-125 - [c71]Giancarlo A. Xompero, Michele Mastromattei, Samir Salman, Cristina Giannone, Andrea Favalli, Raniero Romagnoli, Fabio Massimo Zanzotto:
Every time I fire a conversational designer, the performance of the dialogue system goes down. LREC 2022: 137-145 - [i12]Leonardo Ranaldi, Aria Nourbakhsh, Arianna Patrizi, Elena Sofia Ruzzetti, Dario Onorati, Francesca Fallucchi, Fabio Massimo Zanzotto:
The Dark Side of the Language: Pre-trained Transformers in the DarkNet. CoRR abs/2201.05613 (2022) - [i11]Marco Gerardi, Katarzyna Barud, Marie-Catherine Wagner, Nikolaus Forgó, Francesca Fallucchi, Noemi Scarpato, Fiorella Guadagni, Fabio Massimo Zanzotto:
Active Informed Consent to Boost the Application of Machine Learning in Medicine. CoRR abs/2210.08987 (2022) - 2021
- [j15]Zaheer Babar, Twan van Laarhoven, Fabio Massimo Zanzotto, Elena Marchiori:
Evaluating diagnostic content of AI-generated radiology reports of chest X-rays. Artif. Intell. Medicine 116: 102075 (2021) - [j14]Arianna Patrizi, Giorgio Gambosi, Fabio Massimo Zanzotto:
Data Augmentation Using Background Replacement for Automated Sorting of Littered Waste. J. Imaging 7(8): 144 (2021) - [c70]Leonardo Ranaldi, Michele Mastromattei, Dario Onorati, Elena Sofia Ruzzetti, Francesca Fallucchi, Fabio Massimo Zanzotto:
KERMIT for Sentiment Analysis in Italian Healthcare Reviews. CLiC-it 2021 - [c69]Leonardo Ranaldi, Francesca Fallucchi, Andrea Santilli, Fabio Massimo Zanzotto:
KERMITviz: Visualizing Neural Network Activations on Syntactic Trees. MTSR 2021: 139-147 - [i10]Elena Sofia Ruzzetti, Leonardo Ranaldi, Michele Mastromattei, Francesca Fallucchi, Fabio Massimo Zanzotto:
Lacking the embedding of a word? Look it up into a traditional dictionary. CoRR abs/2109.11763 (2021) - [i9]Giancarlo A. Xompero, Michele Mastromattei, Samir Salman, Cristina Giannone, Andrea Favalli, Raniero Romagnoli, Fabio Massimo Zanzotto:
Every time I fire a conversational designer, the performance of the dialog system goes down. CoRR abs/2109.13029 (2021) - 2020
- [j13]Fabio Massimo Zanzotto, Giorgio Satta, Giordano Cristini:
CYK Parsing over Distributed Representations. Algorithms 13(10): 262 (2020) - [j12]Dario Onorati, Pierfrancesco Tommasino, Leonardo Ranaldi, Francesca Fallucchi, Fabio Massimo Zanzotto:
Pat-in-the-Loop: Declarative Knowledge for Controlling Neural Networks. Future Internet 12(12): 218 (2020) - [j11]Leonardo Ranaldi, Fabio Massimo Zanzotto:
Hiding Your Face Is Not Enough: user identity linkage with image recognition. Soc. Netw. Anal. Min. 10(1): 56 (2020) - [c68]Fabio Massimo Zanzotto, Dario Onorati, Pierfrancesco Tommasino, Andrea Santilli, Leonardo Ranaldi, Francesca Fallucchi:
Pat-in-the-loop: Syntax-based Neural Networks with Activation Visualization and Declarative Control. XAI.it@AI*IA 2020: 112-118 - [c67]Giancarlo A. Xompero, Cristina Giannone, Fabio Massimo Zanzotto, Andrea Favalli, Raniero Romagnoli:
Injecting Designers' Knowledge in Conversational Neural Network Systems. NL4AI@AI*IA 2020: 170-177 - [c66]Fabio Massimo Zanzotto, Andrea Santilli, Leonardo Ranaldi, Dario Onorati, Pierfrancesco Tommasino, Francesca Fallucchi:
KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations. EMNLP (1) 2020: 256-267 - [i8]Fabio Massimo Zanzotto, Viviana Bono, Paola Vocca, Andrea Santilli, Danilo Croce, Giorgio Gambosi, Roberto Basili:
GASP! Generating Abstracts of Scientific Papers from Abstracts of Cited Papers. CoRR abs/2003.04996 (2020) - [i7]Antonio-Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez Sánchez:
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey. CoRR abs/2010.00353 (2020)
2010 – 2019
- 2019
- [j10]Lorenzo Ferrone, Fabio Massimo Zanzotto:
Symbolic, Distributed, and Distributional Representations for Natural Language Processing in the Era of Deep Learning: A Survey. Frontiers Robotics AI 6: 153 (2019) - [j9]Fabio Massimo Zanzotto:
Viewpoint: Human-in-the-loop Artificial Intelligence. J. Artif. Intell. Res. 64: 243-252 (2019) - [c65]Fabio Massimo Zanzotto:
Viewpoint: Human-In-The-Loop Artificial Intelligence. DDC@AI*IA 2019: 84-94 - [c64]Simone Bruno, Silvia Maria Ansaldi, Patrizia Agnello, Fabio Massimo Zanzotto:
Standardizing Language with Word Embeddings and Language Modeling in Reports of Near Misses in Seveso Industries. CLiC-it 2019 - 2018
- [c63]Fabio Massimo Zanzotto, Andrea Santilli:
SyntNN at SemEval-2018 Task 2: is Syntax Useful for Emoji Prediction? Embedding Syntactic Trees in Multi Layer Perceptrons. SemEval@NAACL-HLT 2018: 477-481 - 2017
- [j8]Fabio Massimo Zanzotto, Lorenzo Ferrone:
Have You Lost the Thread? Discovering Ongoing Conversations in Scattered Dialog Blocks. ACM Trans. Interact. Intell. Syst. 7(2): 9:1-9:19 (2017) - [c62]Fabio Massimo Zanzotto, Gioele Minardi, Dario Onorati, Gabriele Cocino, Andrea Formichetti:
Dialogware - the "Software" for Conversational Agents: a Modular FrameNet-based Approach. NL4AI@AI*IA 2017: 43-50 - [c61]Fabio Massimo Zanzotto, Lorenzo Ferrone:
Can we explain natural language inference decisions taken with neural networks? Inference rules in distributed representations. IJCNN 2017: 3680-3687 - [c60]Fiorella Guadagni, Fabio Massimo Zanzotto, Noemi Scarpato, Alessandro Rullo, Silvia Riondino, Patrizia Ferroni, Mario Roselli:
RISK: A Random Optimization Interactive System Based on Kernel Learning for Predicting Breast Cancer Disease Progression. IWBBIO (1) 2017: 189-196 - [i6]Lorenzo Ferrone, Fabio Massimo Zanzotto:
Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey. CoRR abs/1702.00764 (2017) - [i5]Fabio Massimo Zanzotto, Giordano Cristini:
Parsing with CYK over Distributed Representations: "Classical" Syntactic Parsing in the Novel Era of Neural Networks. CoRR abs/1705.08843 (2017) - [i4]Fabio Massimo Zanzotto:
Human-in-the-loop Artificial Intelligence. CoRR abs/1710.08191 (2017) - 2015
- [j7]Fabio Massimo Zanzotto, Lorenzo Ferrone, Marco Baroni:
When the Whole Is Not Greater Than the Combination of Its Parts: A "Decompositional" Look at Compositional Distributional Semantics. Comput. Linguistics 41(1): 165-173 (2015) - [c59]Grégory Senay, Fabio Massimo Zanzotto, Lorenzo Ferrone, Luca Rigazio:
Predicting Embedded Syntactic Structures from Natural Language Sentences with Neural Network Approaches. CoCo@NIPS 2015 - [c58]Lorenzo Ferrone, Fabio Massimo Zanzotto, Xavier Carreras:
Decoding Distributed Tree Structures. SLSP 2015: 73-83 - 2014
- [c57]Lorenzo Ferrone, Fabio Massimo Zanzotto:
Towards Syntax-aware Compositional Distributional Semantic Models. COLING 2014: 721-730 - [c56]Lorenzo Ferrone, Fabio Massimo Zanzotto:
haLF: Comparing a Pure CDSM Approach with a Standard Machine Learning System for RTE. SemEval@COLING 2014: 300-304 - [c55]Nghia The Pham, Lorenzo Ferrone, Fabio Massimo Zanzotto:
Compositional Distributional Semantics Models in Chunk-based Smoothed Tree Kernels. *SEM@COLING 2014: 93-98 - 2013
- [b1]Ido Dagan, Dan Roth, Mark Sammons, Fabio Massimo Zanzotto:
Recognizing Textual Entailment: Models and Applications. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2013, ISBN 9781598298345, pp. 1-220 - [c54]Fabio Massimo Zanzotto, Lorenzo Dell'Arciprete:
Transducing Sentences to Syntactic Feature Vectors: an Alternative Way to "Parse"? CVSM@ACL 2013: 40-49 - [c53]Lorenzo Ferrone, Fabio Massimo Zanzotto:
Linear Compositional Distributional Semantics and Structural Kernels. JSSP 2013: 85-89 - [c52]Simone Filice, Danilo Croce, Roberto Basili, Fabio Massimo Zanzotto:
Linear Online Learning over Structured Data with Distributed Tree Kernels. ICMLA (1) 2013: 123-128 - [c51]Ioannis Korkontzelos, Torsten Zesch, Fabio Massimo Zanzotto, Chris Biemann:
SemEval-2013 Task 5: Evaluating Phrasal Semantics. SemEval@NAACL-HLT 2013: 39-47 - [c50]Antonio Sorgente, Nadia Brancati, Cristina Giannone, Fabio Massimo Zanzotto, Francesco Mele, Roberto Basili:
Chatting to Personalize and Plan Cultural Itineraries. UMAP Workshops 2013 - [p1]Alessandro Oltramari, Guido Vetere, Isabella Chiari, Elisabetta Jezek, Fabio Massimo Zanzotto, Malvina Nissim, Aldo Gangemi:
Senso Comune: A Collaborative Knowledge Resource for Italian. The People's Web Meets NLP 2013: 45-67 - 2012
- [c49]Lorenzo Dell'Arciprete, Brian Murphy, Fabio Massimo Zanzotto:
Parallels between Machine and Brain Decoding. Brain Informatics 2012: 162-174 - [c48]Fabio Massimo Zanzotto, Alexandra Gabriela Tudorache:
Travel with Words: An Innovative Vision on Travelling. Web Intelligence/IAT Workshops 2012: 107-111 - [c47]Fabio Massimo Zanzotto, Lorenzo Dell'Arciprete:
Distributed Tree Kernels. ICML 2012 - [e3]Fabio Massimo Zanzotto, Shusaku Tsumoto, Niels Taatgen, Yiyu Yao:
Brain Informatics - International Conference, BI 2012, Macau, China, December 4-7, 2012. Proceedings. Lecture Notes in Computer Science 7670, Springer 2012, ISBN 978-3-642-35138-9 [contents] - [i3]Fabio Massimo Zanzotto, Lorenzo Dell'Arciprete:
Distributed Tree Kernels. CoRR abs/1206.4607 (2012) - 2011
- [j6]Fabio Massimo Zanzotto, Lorenzo Dell'Arciprete, Alessandro Moschitti:
Efficient Graph Kernels for Textual Entailment Recognition. Fundam. Informaticae 107(2-3): 199-222 (2011) - [j5]Francesca Fallucchi, Fabio Massimo Zanzotto:
Inductive probabilistic taxonomy learning using singular value decomposition. Nat. Lang. Eng. 17(1): 71-94 (2011) - [j4]Guido Vetere, Alessandro Oltramari, Isabella Chiari, Elisabetta Jezek, Laure Vieu, Fabio Massimo Zanzotto:
Senso Comune, an Open Knowledge Base of Italian Language. Trait. Autom. des Langues 52(3): 217-243 (2011) - [c46]Fabio Massimo Zanzotto, Marco Pennacchiotti, Kostas Tsioutsiouliklis:
Linguistic Redundancy in Twitter. EMNLP 2011: 659-669 - 2010
- [c45]Fabio Massimo Zanzotto, Marco Pennacchiotti:
Expanding textual entailment corpora fromWikipedia using co-training. PWNLP@COLING 2010: 28-36 - [c44]Fabio Massimo Zanzotto, Danilo Croce:
Comparing EEG/ERP-Like and fMRI-Like Techniques for Reading Machine Thoughts. Brain Informatics 2010: 133-144 - [c43]Fabio Massimo Zanzotto, Ioannis Korkontzelos, Francesca Fallucchi, Suresh Manandhar:
Estimating Linear Models for Compositional Distributional Semantics. COLING 2010: 1263-1271 - [c42]Francesca Fallucchi, Maria Teresa Pazienza, Fabio Massimo Zanzotto:
Generic Ontology Learners on Application Domains. LREC 2010 - [c41]Yashar Mehdad, Alessandro Moschitti, Fabio Massimo Zanzotto:
Syntactic/Semantic Structures for Textual Entailment Recognition. HLT-NAACL 2010: 1020-1028 - [c40]Francesca Fallucchi, Fabio Massimo Zanzotto:
Transitivity in semantic relation learning. NLPKE 2010: 1-8 - [e2]Carmen Banea, Alessandro Moschitti, Swapna Somasundaran, Fabio Massimo Zanzotto:
Proceedings of TextGraphs@ACL 2010 Workshop on Graph-based Methods for Natural Language Processing, Uppsala, Sweden, July 16, 2010. Association for Computational Linguistics 2010, ISBN 978-1-932432-77-0 [contents]
2000 – 2009
- 2009
- [j3]Fabio Massimo Zanzotto, Marco Pennacchiotti, Alessandro Moschitti:
A machine learning approach to textual entailment recognition. Nat. Lang. Eng. 15(4): 551-582 (2009) - [c39]Francesca Fallucchi, Noemi Scarpato, Armando Stellato, Fabio Massimo Zanzotto:
Probabilistic Ontology Learner in Semantic Turkey. AI*IA 2009: 294-303 - [c38]Fabio Massimo Zanzotto, Lorenzo Dell'Arciprete:
Efficient Kernels for Sentence Pair Classification. RCRA@AI*IA 2009 - [c37]Fabio Massimo Zanzotto, Danilo Croce:
Reading What Machines "Think". Brain Informatics 2009: 159-170 - [c36]Roberta Beccaceci, Francesca Fallucchi, Cristina Giannone, Francesca Spagnoulo, Fabio Massimo Zanzotto:
Education with "Living Artworks" in Museums. CSEDU (1) 2009: 346-349 - [c35]Fabio Massimo Zanzotto, Lorenzo Dell'Arciprete:
Efficient kernels for sentence pair classification. EMNLP 2009: 91-100 - [c34]Francesca Fallucchi, Fabio Massimo Zanzotto:
Singular Value Decomposition for Feature Selection in Taxonomy Learning. RANLP 2009: 82-87 - [e1]Chris Callison-Burch, Ido Dagan, Christopher D. Manning, Marco Pennacchiotti, Fabio Massimo Zanzotto:
Proceedings of the 2009 Workshop on Applied Textual Inference, TextInfer@ACL 2009, Suntec, Singapore, August 6, 2009. Association for Computational Linguistics 2009, ISBN 978-1-932432-48-0 [contents] - [i2]Yashar Mehdad, Alessandro Moschitti, Fabio Massimo Zanzotto:
SemKer: Syntactic/Semantic Kernels for Recognizing Textual Entailment. TAC 2009 - 2008
- [c33]Francesca Fallucchi, Fabio Massimo Zanzotto:
Yet another Platform for Extracting Knowledge from Corpora. LREC 2008 - [c32]Marco Pennacchiotti, Fabio Massimo Zanzotto:
Natural Language Processing Across Time: An Empirical Investigation on Italian. GoTAL 2008: 371-382 - [i1]Fabio Massimo Zanzotto, Marco Pennacchiotti, Alessandro Moschitti:
PeMoZa Submission to TAC 2008. TAC 2008 - 2007
- [c31]Fabio Massimo Zanzotto, Marco Pennacchiotti, Alessandro Moschitti:
Shallow Semantic in Fast Textual Entailment Rule Learners. ACL-PASCAL@ACL 2007: 72-77 - [c30]Alessandro Moschitti, Fabio Massimo Zanzotto:
Fast and effective kernels for relational learning from texts. ICML 2007: 649-656 - 2006
- [c29]Fabio Massimo Zanzotto, Alessandro Moschitti:
Automatic Learning of Textual Entailments with Cross-Pair Similarities. ACL 2006 - [c28]Fabio Massimo Zanzotto, Marco Pennacchiotti, Maria Teresa Pazienza:
Discovering Asymmetric Entailment Relations between Verbs Using Selectional Preferences. ACL 2006 - [c27]Fabio Massimo Zanzotto, Alessandro Moschitti:
Experimenting a "General Purpose" Textual Entailment Learner in AVE. CLEF 2006: 510-517 - [c26]Fabio Massimo Zanzotto, Alessandro Moschitti:
Experimenting a "General Purpose" Textual Entailment Learner in AVE. CLEF (Working Notes) 2006 - [c25]Maria Teresa Pazienza, Marco Pennacchiotti, Fabio Massimo Zanzotto:
Discovering Verb Relations in Corpora: Distributional Versus Non-distributional Approaches. IEA/AIE 2006: 1042-1052 - [c24]Maria Teresa Pazienza, Marco Pennacchiotti, Fabio Massimo Zanzotto:
Mixing WordNet, VerbNet and PropBank for studying verb relations. LREC 2006: 1372-1377 - [c23]Alessandro Bahgat Shehata, Fabio Massimo Zanzotto:
A Dependency-based Algorithm for Grammar Conversion. LREC 2006: 2508-2513 - 2005
- [c22]Fabio Massimo Zanzotto, Maria Teresa Pazienza, Marco Pennacchiotti:
Discovering Entailment Relations Using "Textual Entailment Patterns". EMSEE@ACL 2005: 37-42 - [c21]Maria Teresa Pazienza, Marco Pennacchiotti, Fabio Massimo Zanzotto:
A Linguistic Inspection of Textual Entailment. AI*IA 2005: 315-326 - [c20]Maria Teresa Pazienza, Marco Pennacchiotti, Michele Vindigni, Fabio Massimo Zanzotto:
AI/NLP Technologies Applied to Spacecraft Mission Design. IEA/AIE 2005: 239-248 - [c19]Maria Teresa Pazienza, Marco Pennacchiotti, Fabio Massimo Zanzotto:
Learning Textual Entailment on a Distance Feature Space. MLCW 2005: 240-260 - [c18]Roberto Basili, Marco Cammisa, Maria Vittoria Marabello, Marco Pennacchiotti, Dario Saracino, Fabio Massimo Zanzotto:
Ontology-driven Information Retrieval in FF-Poirot. SWAP 2005 - 2004
- [c17]Maria Teresa Pazienza, Marco Pennacchiotti, Fabio Massimo Zanzotto:
Identifying Relational Concept Lexicalisations by Using General Linguistic Knowledge. ECAI 2004: 1071-1072 - [c16]Roberto Basili, Marco Cammisa, Fabio Massimo Zanzotto:
A Similarity Measure for Unsupervised Semantic Disambiguation. LREC 2004 - [c15]Roberto Basili, Nicola Lorusso, Maria Teresa Pazienza, Fabio Massimo Zanzotto:
A2Q: An Agent-based Architecure for Multilingual Q&A. LREC 2004 - [c14]Louise Guthrie, Roberto Basili, Fabio Massimo Zanzotto, Kalina Bontcheva, Hamish Cunningham, David Guthrie, Jia Cui, Marco Cammisa, Jerry Cheng-Chieh Liu, Cassia Farria Martin, Kristiyan Haralambiev, Martin Holub, Klaus Macherey, Frederick Jelinek:
Large Scale Experiments for Semantic Labeling of Noun Phrases in Raw Text. LREC 2004 - [c13]Paolo Atzeni, Roberto Basili, Dorte Haltrup Hansen, Paolo Missier, Patrizia Paggio, Maria Teresa Pazienza, Fabio Massimo Zanzotto:
Ontology-Based Question Answering in a Federation of University Sites: The MOSES Case Study. NLDB 2004: 413-420 - [c12]Roberto Basili, Michele Vindigni, Fabio Massimo Zanzotto:
Understanding the Web through its Language. Web Intelligence 2004: 736-739 - [c11]Maria Teresa Pazienza, Marco Pennacchiotti, Fabio Massimo Zanzotto:
Modelling Semantic Grid Knowledge Embedded in Documents. WETICE 2004: 364-369 - 2003
- [j2]Roberto Basili, Alessandro Moschitti, Maria Teresa Pazienza, Fabio Massimo Zanzotto:
Personalizing Web Publishing via Information Extraction. IEEE Intell. Syst. 18(1): 62-70 (2003) - [c10]Roberto Basili, Maria Teresa Pazienza, Fabio Massimo Zanzotto:
Inducing hyperlinking rules in text collections. RANLP 2003: 131-140 - [c9]Roberto Basili, Michele Vindigni, Fabio Massimo Zanzotto:
Integrating Ontological and Linguistic Knowledge for Conceptual Information Extraction. Web Intelligence 2003: 175-181 - 2002
- [j1]Roberto Basili, Fabio Massimo Zanzotto:
Parsing engineering and empirical robustness. Nat. Lang. Eng. 8(2-3): 97-120 (2002) - [c8]Roberto Basili, Maria Teresa Pazienza, Fabio Massimo Zanzotto:
Decision Trees as Explicit Domain Term Definitions. COLING 2002 - [c7]Roberto Basili, Maria Teresa Pazienza, Fabio Massimo Zanzotto:
Acquisition of conceptual domain dictionaries via decision tree learning. ECAI 2002: 480-484 - [c6]Roberto Basili, Maria Teresa Pazienza, Fabio Massimo Zanzotto:
Web-Based Information Access: Multilingual Automatic Authoring. ITCC 2002: 548 - 2001
- [c5]Roberto Basili, Roberta Catizone, Lluís Padró, Maria Teresa Pazienza, German Rigau, Andrea Setzer, Nick Webb, Yorick Wilks, Fabio Massimo Zanzotto:
Multilingual Authoring: the NAMIC Approach. HTLKM@ACL 2001 - [c4]Roberto Basili, Maria Teresa Pazienza, Fabio Massimo Zanzotto:
Flexible Parsing Architectures for NLP Applications. AI*IA 2001: 308-313 - 2000
- [c3]Roberto Basili, Maria Teresa Pazienza, Fabio Massimo Zanzotto:
Customizable Modular Lexicalized Parsing. IWPT 2000: 41-52 - [c2]Roberto Basili, Maria Teresa Pazienza, Michele Vindigni, Fabio Massimo Zanzotto:
Tuning Lexicons to New Operational Scenarios. LREC 2000
1990 – 1999
- 1998
- [c1]Roberto Basili, Maria Teresa Pazienza, Fabio Massimo Zanzotto:
Efficient Parsing for Information Extraction. ECAI 1998: 135-139
Coauthor Index
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