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, developing AI systems with advanced reasoning capabilities that can handle real-world complexity: recognizing ambiguity, providing diverse responses, and adapting to language variation.

I am particularly interested in tasks that require complex multi-step reasoning, especially in text-to-SQL semantic parsing - generating executable database queries from natural language instructions. Through this work, I address key challenges in generalization and explainability in AI.

Irina Saparina

Publications

Asking a Language Model for Diverse Responses

Sergey Troshin, Irina Saparina, Antske Fokkens, and Vlad Niculae.

UncertaiNLP @ EMNLP 2025

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