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20172023
most citedLocal Embeddings for Relational Data Integration

138 citations · 238 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.DB2023★ 9 cited

Querying Large Language Models with SQL

Mohammed Saeed, Nicola De Cao, Paolo Papotti

In many use-cases, information is stored in text but not available in structured data. However, extracting data from natural language text to precisely fit a schema, and thus enabl…

cs.DB2021★ 1 cited

Unsupervised Matching of Data and Text

Naser Ahmadi, Hansjorg Sand, Paolo Papotti

Entity resolution is a widely studied problem with several proposals to match records across relations. Matching textual content is a widespread task in many applications, such as…

cs.DB2020★ 2 cited

Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification

Georgios Karagiannis, Mohammed Saeed, Paolo Papotti +1

Organizations such as the International Energy Agency (IEA) spend significant amounts of time and money to manually fact check text documents summarizing data. The goal of the Scru…

cs.DB2019★ 138 cited

Local Embeddings for Relational Data Integration

Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan

Deep learning based techniques have been recently used with promising results for data integration problems. Some methods directly use pre-trained embeddings that were trained on a…

cs.DB2019★ 1 cited

Explainable Fact Checking with Probabilistic Answer Set Programming

Naser Ahmadi, Joohyung Lee, Paolo Papotti +1

One challenge in fact checking is the ability to improve the transparency of the decision. We present a fact checking method that uses reference information in knowledge graphs (KG…