RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News Texts
Authors: name: Natalia Loukachevitch, name: Natalia Tkachenko, name: Anna Lapanitsyna, name: Mikhail Tikhomirov, name: Nicolay Rusnachenko

In this paper, we introduce the Dialogue Evaluation shared task on extraction
of structured opinions from Russian news texts. The task of the contest is to
extract opinion tuples for a given sentence; the tuples are composed of a
sentiment holder, its target, an expression and sentiment from the holder to
the target. In total, the task received more than 100 submissions. The
participants experimented mainly with large language models in zero-shot,
few-shot and fine-tuning formats. The best result on the test set was obtained
with fine-tuning of a large language model. We also compared 30 prompts and 11
open source language models with 3-32 billion parameters in the 1-shot and
10-shot settings and found the best models and prompts.