Paolo Papotti

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 104

Top Venues

Publications

Mohammed Saeed, Nicola De Cao, Paolo Papotti
Querying Large Language Models with SQL. EDBT (2024)
Simone Papicchio, Paolo Papotti, Luca Cagliero
Evaluating Ambiguous Questions in Semantic Parsing. ICDEW (2024)
Paolo Papotti
Large Language Models as Storage for SQL Querying. ICDE (2024)
Giansalvatore Mecca, Paolo Papotti, Donatello Santoro, Enzo Veltri
BUNNI: Learning Repair Actions in Rule-driven Data Cleaning. ACM J. Data Inf. Qual. 16 (2) (2024)
Jean-Flavien Bussotti, Paolo Papotti, Donatello Santoro, Enzo Veltri
A Framework for the Generation of Training Examples from Tabular Data. SEBD (2024)
Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti, Donatello Santoro, Enzo Veltri
Comparing Incomplete Database Instances. SEBD (2024)
Riccardo Cappuzzo, Gaël Varoquaux, Aimee Coelho, Paolo Papotti
Retrieve, Merge, Predict: Augmenting Tables with Data Lakes. CoRR (2024)
Riccardo Cappuzzo, Saravanan Thirumuruganathan, Paolo Papotti
Relational Data Imputation with Graph Neural Networks. EDBT (2024)
Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti, Donatello Santoro, Enzo Veltri
Similarity Measures For Incomplete Database Instances. EDBT (2024)
Dustin Wright, Paolo Papotti, Isabelle Augenstein
Introduction to the Special Issue on Truth and Trust Online. ACM J. Data Inf. Qual. 15 (1) (2023)
Muhammad Shujaat Mirza, Labeeba Begum, Liang Niu, Sarah Pardo, Azza Abouzied, Paolo Papotti, Christina Pöpper
Tactics, Threats & Targets: Modeling Disinformation and its Mitigation. NDSS (2023)
Enzo Veltri, Gilbert Badaro, Mohammed Saeed, Paolo Papotti
Data Ambiguity Profiling for the Generation of Training Examples. ICDE (2023)
Madelon Hulsebos, Xiang Deng, Huan Sun, Paolo Papotti
Models and Practice of Neural Table Representations. SIGMOD Conference Companion (2023)
Youri Peskine, Damir Korencic, Ivan Grubisic, Paolo Papotti, Raphaël Troncy, Paolo Rosso
Definitions Matter: Guiding GPT for Multi-label Classification. EMNLP (Findings) (2023)
Gilbert Badaro, Mohammed Saeed, Paolo Papotti
Transformers for Tabular Data Representation: A Survey of Models and Applications. Trans. Assoc. Comput. Linguistics 11 (2023)
Jean-Flavien Bussotti, Enzo Veltri, Donatello Santoro, Paolo Papotti
Generation of Training Examples for Tabular Natural Language Inference. Proc. ACM Manag. Data 1 (4) (2023)
Rishi Advani, Paolo Papotti, Abolfazl Asudeh
Maximizing Neutrality in News Ordering. CoRR (2023)
Luca Righes, Mohammed Saeed, Gianluca Demartini, Paolo Papotti
The Community Notes Observatory: Can Crowdsourced Fact-Checking be Trusted in Practice? WWW (Companion Volume) (2023)
Mohammed Saeed, Nicola De Cao, Paolo Papotti
Querying Large Language Models with SQL. CoRR (2023)
Lluís Garcia Pueyo, Panayiotis Tsaparas, Prathyusha Senthil Kumar, Timos Sellis, Paolo Papotti, Sibel Adali, Giuseppe Manco, Tudor Trufinescu, Gireeja Ranade, James Verbus, Mehmet N. Tek, Anthony McCosker
Integrity 2023: Integrity in Social Networks and Media. WSDM (2023)
Rishi Advani, Paolo Papotti, Abolfazl Asudeh
Maximizing Neutrality in News Ordering. KDD (2023)
Rajesh Shrestha, Omeed Habibelahian, Arash Termehchy, Paolo Papotti
Exploratory Training: When Annonators Learn About Data. Proc. ACM Manag. Data 1 (2) (2023)
Simone Papicchio, Paolo Papotti, Luca Cagliero
QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data. NeurIPS (2023)
Enzo Veltri, Gilbert Badaro, Mohammed Saeed, Paolo Papotti
Attribute Ambiguity Discovery: A Deep Learning Approach via Unsupervised Learning. SEBD (2023)
Youri Peskine, Raphaël Troncy, Paolo Papotti
Analyzing COVID-Related Social Discourse on Twitter using Emotion, Sentiment, Political Bias, Stance, Veracity and Conspiracy Theories. WWW (Companion Volume) (2023)
Kensuke Mitsuzawa, Motonobu Kanagawa, Stefano Bortoli, Margherita Grossi, Paolo Papotti
Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison. CoRR (2023)
Naser Ahmadi, Hansjorg Sand, Paolo Papotti
Building A Knowledge Graph for Audit Information. EDBT/ICDT Workshops (2022)
Donatello Santoro, Saravanan Thirumuruganathan, Paolo Papotti
Editorial: Special Issue on Deep Learning for Data Quality. ACM J. Data Inf. Qual. 14 (3) (2022)
Mohammed Saeed, Paolo Papotti
You Are My Type! Type Embeddings for Pre-trained Language Models. EMNLP (Findings) (2022)
Youri Peskine, Paolo Papotti, Raphaël Troncy
Detection of COVID-19-Related Conspiracy Theories in Tweets using Transformer-Based Models and Node Embedding Techniques. MediaEval (2022)
Omeed Habibelahian, Rajesh Shrestha, Arash Termehchy, Paolo Papotti
Exploratory training: when trainers learn. HILDA@SIGMOD (2022)
Gilbert Badaro, Paolo Papotti
Transformers for Tabular Data Representation: A Tutorial on Models and Applications. Proc. VLDB Endow. 15 (12) (2022)
Lluís Garcia Pueyo, Panayiotis Tsaparas, Anand Bhaskar, Prathyusha Senthil Kumar, Roelof van Zwol, Timos Sellis, Anthony McCosker, Paolo Papotti
Integrity 2022: Integrity in Social Networks and Media. CoRR (2022)
Mohammed Saeed, Nicolas Traub, Maelle Nicolas, Gianluca Demartini, Paolo Papotti
Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts? CoRR (2022)
Paolo Papotti
Technical Perspective of TURL: Table Understanding through Representation Learning. SIGMOD Rec. 51 (1) (2022)
Enzo Veltri, Donatello Santoro, Gilbert Badaro, Mohammed Saeed, Paolo Papotti
Ambiguity Detection and Textual Claims Generation from Relational Data. SEBD (2022)
Mohammed Saeed, Nicolas Traub, Maelle Nicolas, Gianluca Demartini, Paolo Papotti
Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts? CIKM (2022)
Naser Ahmadi, Hansjorg Sand, Paolo Papotti
Unsupervised Matching of Data and Text. ICDE (2022)
Enzo Veltri, Donatello Santoro, Gilbert Badaro, Mohammed Saeed, Paolo Papotti
Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data. SIGMOD Conference (2022)
Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models. EMNLP (1) (2021)
Michael Loster, Davide Mottin, Paolo Papotti, Jan Ehmüller, Benjamin Feldmann, Felix Naumann
Few-Shot Knowledge Validation using Rules. WWW (2021)
Paolo Papotti
Computational Fact Checking is Real, but will it Stop Misinformation? (Extended Abstract). MISINFO@WWW (2021)
Naser Ahmadi, Paolo Papotti
Wikidata Logical Rules and Where to Find Them. WWW (Companion Volume) (2021)
Naser Ahmadi, Hansjorg Sand, Paolo Papotti
Unsupervised Matching of Data and Text. CoRR (2021)
Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino
Automated Fact-Checking for Assisting Human Fact-Checkers. CoRR (2021)
Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan
EmbDI: Generating Embeddings for Relational Data Integration (Discussion Paper). SEBD (2021)
Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti
RuleBert: Teaching Soft Rules to Pre-trained Language Models. CoRR (2021)
Rayhane Rezgui, Mohammed Saeed, Paolo Papotti
Automatic Verification of Data Summaries. INLG (2021)
Mohammed Saeed, Paolo Papotti
Fact-Checking Statistical Claims with Tables. IEEE Data Eng. Bull. 44 (3) (2021)
Youri Peskine, Giulio Alfarano, Ismail Harrando, Paolo Papotti, Raphaël Troncy
Detecting COVID-19-Related Conspiracy Theories in Tweets. MediaEval (2021)
Paolo Papotti
Data Challenges in Disinformation Diffusion Analysis. EDBT/ICDT Workshops (2021)
Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino
Automated Fact-Checking for Assisting Human Fact-Checkers. IJCAI (2021)
Naser Ahmadi, Thi-Thuy-Duyen Truong, Le-Hong-Mai Dao, Stefano Ortona, Paolo Papotti
RuleHub: A Public Corpus of Rules for Knowledge Graphs. ACM J. Data Inf. Qual. 12 (4) (2020)
Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks. SIGMOD Conference (2020)
Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, H. Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida
Making AI Machines Work for Humans in FoW. SIGMOD Rec. 49 (2) (2020)
Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer
Scrutinizer: Fact Checking Statistical Claims. Proc. VLDB Endow. 13 (12) (2020)
Naser Ahmadi, Viet-Phi Huynh, Venkata Vamsikrishna Meduri, Stefano Ortona, Paolo Papotti
Mining Expressive Rules in Knowledge Graphs. ACM J. Data Inf. Qual. 12 (2) (2020)
Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi
LIBRE: Learning Interpretable Boolean Rule Ensembles. AISTATS (2020)
Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer
Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification. Proc. VLDB Endow. 13 (11) (2020)
Kim-Hung Le, Paolo Papotti
User-driven Error Detection for Time Series with Events. ICDE (2020)
Georgios Karagiannis, Mohammed Saeed, Paolo Papotti, Immanuel Trummer
Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification. CoRR (2020)
Floris Geerts, Giansalvatore Mecca, Paolo Papotti, Donatello Santoro
Cleaning data with Llunatic. VLDB J. 29 (4) (2020)
Viet-Phi Huynh, Paolo Papotti
A Benchmark for Fact Checking Algorithms Built on Knowledge Bases. CIKM (2019)
Paolo Atzeni, Luigi Bellomarini, Paolo Papotti, Riccardo Torlone
GAIA: A Framework for Schema Mapping Reuse (extended abstract). SEBD (2019)
Viet-Phi Huynh, Paolo Papotti
Buckle: Evaluating Fact Checking Algorithms Built on Knowledge Bases. Proc. VLDB Endow. 12 (12) (2019)
Paolo Atzeni, Luigi Bellomarini, Paolo Papotti, Riccardo Torlone
Meta-Mappings for Schema Mapping Reuse. Proc. VLDB Endow. 12 (5) (2019)
Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan
Local Embeddings for Relational Data Integration. CoRR (2019)
Naser Ahmadi, Joohyung Lee, Paolo Papotti, Mohammed Saeed
Explainable Fact Checking with Probabilistic Answer Set Programming. TTO (2019)
Graziano Mita, Paolo Papotti, Maurizio Filippone, Pietro Michiardi
LIBRE: Learning Interpretable Boolean Rule Ensembles. CoRR (2019)
Naser Ahmadi, Joohyung Lee, Paolo Papotti, Mohammed Saeed
Explainable Fact Checking with Probabilistic Answer Set Programming. CoRR (2019)
Divy Agrawal, Sanjay Chawla, Bertty Contreras-Rojas, Ahmed K. Elmagarmid, Yasser Idris, Zoi Kaoudi, Sebastian Kruse, Ji Lucas, Essam Mansour, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Saravanan Thirumuruganathan, Anis Troudi
RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! -. Proc. VLDB Endow. 11 (11) (2018)
Stefano Ortona, Venkata Vamsikrishna Meduri, Paolo Papotti
Robust Discovery of Positive and Negative Rules in Knowledge Bases. ICDE (2018)
Viet-Phi Huynh, Paolo Papotti
Towards a Benchmark for Fact Checking with Knowledge Bases. WWW (Companion Volume) (2018)
Stefano Ortona, Venkata Vamsikrishna Meduri, Paolo Papotti
RuDiK: Rule Discovery in Knowledge Bases. Proc. VLDB Endow. 11 (12) (2018)
Donatello Santoro, Patricia C. Arocena, Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti
Let's Make It Dirty with BART! SEBD (2018)
Michael Benedikt, George Konstantinidis, Giansalvatore Mecca, Boris Motik, Paolo Papotti, Donatello Santoro, Efthymia Tsamoura
Benchmarking the Chase. PODS (2017)
Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis
Errata for "Lightning Fast and Space Efficient Inequality Joins" (PVLDB 8(13): 2074-2085). Proc. VLDB Endow. 10 (9) (2017)
Fnu Suya, Yuan Tian, David Evans, Paolo Papotti
Query-limited Black-box Attacks to Classifiers. CoRR (2017)
Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis
Fast and scalable inequality joins. VLDB J. 26 (1) (2017)
Nikhil Vementala, Paolo Papotti, Mohamed Sarwat
A Framework for Interactive Geospatial Map Cleaning using GPS Trajectories. IWCTS@SIGSPATIAL (2017)
Rohit Singh, Venkata Vamsikrishna Meduri, Ahmed K. Elmagarmid, Samuel Madden, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Armando Solar-Lezama, Nan Tang
Generating Concise Entity Matching Rules. SIGMOD Conference (2017)
Enzo Veltri, Donatello Santoro, Giansalvatore Mecca, Paolo Papotti, Jian He, Gouliang Li, Nan Tang
Interactive Data Repairing: the FALCON Dive. SEBD (2017)
Rohit Singh, Venkata Vamsikrishna Meduri, Ahmed K. Elmagarmid, Samuel Madden, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Armando Solar-Lezama, Nan Tang
Synthesizing Entity Matching Rules by Examples. Proc. VLDB Endow. 11 (2) (2017)
Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang
Detecting Data Errors: Where are we and what needs to be done? Proc. VLDB Endow. 9 (12) (2016)
Divy Agrawal, Sanjay Chawla, Ahmed K. Elmagarmid, Zoi Kaoudi, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Mohammed J. Zaki
Road to Freedom in Big Data Analytics. EDBT (2016)
Paolo Papotti
Data quality between promises and results. ICDE Workshops (2016)
Jian He, Enzo Veltri, Donatello Santoro, Guoliang Li, Giansalvatore Mecca, Paolo Papotti, Nan Tang
Interactive and Deterministic Data Cleaning. SIGMOD Conference (2016)
Donatello Santoro, Patricia C. Arocena, Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti
BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems. SIGMOD Conference (2016)
Ziawasch Abedjan, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker
DataXFormer: A robust transformation discovery system. ICDE (2016)
Venkata Vamsikrishna Meduri, Paolo Papotti
Towards User-Aware Rule Discovery. ISIP (2016)
Patricia C. Arocena, Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti, Donatello Santoro
Benchmarking Data Curation Systems. IEEE Data Eng. Bull. 39 (2) (2016)
Divy Agrawal, Mouhamadou Lamine Ba, Laure Berti-Équille, Sanjay Chawla, Ahmed K. Elmagarmid, Hossam Hammady, Yasser Idris, Zoi Kaoudi, Zuhair Khayyat, Sebastian Kruse, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Mohammed J. Zaki
Rheem: Enabling Multi-Platform Task Execution. SIGMOD Conference (2016)
Shazia W. Sadiq, Paolo Papotti
Big data quality - whose problem is it? ICDE (2016)
Paolo Papotti
Beyond Declarative Data Cleaning. SEBD (2015)
Sebastian Kruse, Paolo Papotti, Felix Naumann
Estimating Data Integration and Cleaning Effort. EDBT (2015)
Patricia C. Arocena, Boris Glavic, Giansalvatore Mecca, Renée J. Miller, Paolo Papotti, Donatello Santoro
Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms. Proc. VLDB Endow. 9 (2) (2015)
Ziawasch Abedjan, John Morcos, Michael N. Gubanov, Ihab F. Ilyas, Michael Stonebraker, Paolo Papotti, Mourad Ouzzani
Dataxformer: Leveraging the Web for Semantic Transformations. CIDR (2015)
Paolo Missier, Paolo Papotti
Editorial. ACM J. Data Inf. Qual. 5 (3) (2015)
Xu Chu, Mourad Ouzzani, John Morcos, Ihab F. Ilyas, Paolo Papotti, Nan Tang, Yin Ye
KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing. Proc. VLDB Endow. 8 (12) (2015)
Ziawasch Abedjan, Cuneyt Gurcan Akcora, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker
Temporal Rules Discovery for Web Data Cleaning. Proc. VLDB Endow. 9 (4) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paolo Papotti