Irina Saparina

I am a final-year Ph.D. student at the University of Edinburgh, supervised by Prof. Mirella Lapata. I work on Natural Language Processing and Understanding, with a focus on building AI systems that can reason about user requests in a more human-like way: recognizing uncertainty and ambiguity, offering alternatives, and adapting to the rich variety of human expression.

My primary research area is text-to-SQL semantic parsing: generating executable database queries from natural language instructions. Through this domain, I explore how to improve generalization, interpretability and user interaction in AI.

Irina Saparina

Publications

Disambiguate First, Parse Later: Generating Interpretations for Ambiguity Resolution in Semantic Parsing

Irina Saparina, Mirella Lapata

Findings of ACL 2025

π”Έπ•„π”Ήβ„π•†π•Šπ•€π”Έ: A Benchmark for Parsing Ambiguous Questions into Database Queries

Irina Saparina, Mirella Lapata

NeurIPS 2024

Improving Generalization in Semantic Parsing by Increasing Natural Language Variation

Irina Saparina, Mirella Lapata

EACL 2024

Searching for Better Database Queries in the Outputs of Semantic Parsers

Anton Osokin, Irina Saparina, Ramil Yarullin

Findings of EACL 2023

SPARQLing Database Queries from Intermediate Question Decompositions

Irina Saparina, Anton Osokin

EMNLP 2021

Cost-Sensitive Training for Autoregressive Models

Irina Saparina, Anton Osokin

WiML @ NeurIPS 2019