Papers by Francesco Cazzaro
Analyzing Text Representations by Measuring Task Alignment (2023.acl-short)
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| Challenge: | Recent advances in text classification have shown that pre-trained representations are key for text classification. |
| Approach: | They propose a task alignment score that measures alignment at different levels of granularity. |
| Outcome: | The proposed score shows that task alignment can explain the performance of a given representation. |
SPOT: Zero-Shot Semantic Parsing Over Property Graphs (2025.findings-acl)
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| Challenge: | Knowledge Graphs (KGs) are becoming increasingly popular as a means of storing structured data. |
| Approach: | They propose a method to generate training data for semantic parsing over Property Graphs without human annotations by matching tree patterns to the KG and paraphrasing the query program with an LLM. |
| Outcome: | The proposed method generates training data for parsing over Property Graphs without human annotations on two property graph benchmarks utilizing the Cypher query language. |
Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing (2023.findings-eacl)
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| Challenge: | Existing approaches that model alignments between sentences fail at compositional generalization tasks, resulting in a resurgence of such approaches. |
| Approach: | They propose a two-step approach that first translates input sentences monotonically and then reorders them to obtain the correct output. |
| Outcome: | The proposed approach improves compositional generalization over existing models and other approaches that exploit gold alignment annotations. |
Align and Augment: Generative Data Augmentation for Compositional Generalization (2024.eacl-long)
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| Challenge: | Recent work on semantic parsing has shown that seq2seq models find compositional generalization challenging. |
| Approach: | They propose a data-augmentation strategy that exploits alignment annotations between sentences and their corresponding meaning representations to improve compositional generalization. |
| Outcome: | The proposed model improves compositional generalization performance by exploiting alignment annotations between sentences and their corresponding meaning representations. |
ZOGRASCOPE: A New Benchmark for Semantic Parsing over Property Graphs (2025.findings-emnlp)
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| Challenge: | PGs are increasingly used in knowledge graphs, but they are underrepresented in research . a benchmark is designed specifically for PG and queries written in Cypher. |
| Approach: | They propose a benchmark specifically for PGs and queries written in Cypher. |
| Outcome: | The proposed benchmark is designed specifically for PGs and queries written in Cypher. |