Papers by Michael Rovatsos

2 papers
LexTime: A Benchmark for Temporal Ordering of Legal Events (2025.findings-emnlp)

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Challenge: Existing benchmarks lack specialized language evaluation for LLMs on event ordering in legal contexts.
Approach: They propose to use a dataset to evaluate LLMs' event ordering capabilities in legal language to evaluate their temporal relations with legal events.
Outcome: The proposed model improves on a dataset of 512 instances from U.S. Federal Complaints with annotated event pairs and their temporal relations.
Automated Refugee Case Analysis: A NLP Pipeline for Supporting Legal Practitioners (2023.findings-acl)

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Challenge: In Canada, retrieving similar cases and their analysis is a key part of legal work . long processing times are due to a significant backlog and to the amount of work required from counsels .
Approach: They propose to extend existing neural named-entity recognition models to retrieve 19 categories of items from refugee cases.
Outcome: The proposed pipeline achieves a superior F1- score on five of the targeted categories and superior to 80% on an additional 4 categories.

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