1 citations · 1 across the 6 of their papers we have counts for
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Achieving Precise Text-To-Cypher Via Grounded Knowledge Graph Data Generation
Francesco Cazzaro, Jessica Lennon, Ariadna Quattoni
Property Graphs are rapidly being adopted as database frameworks for representing heterogeneous data sources. To enable precise access to the information contained in them we need…
ZOGRASCOPE: A New Benchmark for Semantic Parsing over Property Graphs
Francesco Cazzaro, Justin Kleindienst, Sofia Marquez Gomez +1
In recent years, the need for natural language interfaces to knowledge graphs has become increasingly important since they enable easy and efficient access to the information conta…
Analyzing Text Representations by Measuring Task Alignment
Cesar Gonzalez-Gutierrez, Audi Primadhanty, Francesco Cazzaro +1
Textual representations based on pre-trained language models are key, especially in few-shot learning scenarios. What makes a representation good for text classification? Is it due…
Analyzing Text Representations under Tight Annotation Budgets: Measuring Structural Alignment
César González-Gutiérrez, Audi Primadhanty, Francesco Cazzaro +1
Annotating large collections of textual data can be time consuming and expensive. That is why the ability to train models with limited annotation budgets is of great importance. In…
Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing
Francesco Cazzaro, Davide Locatelli, Ariadna Quattoni +1
Prior work in semantic parsing has shown that conventional seq2seq models fail at compositional generalization tasks. This limitation led to a resurgence of methods that model alig…