Coreference annotation and resolution is a vital component of computational
literary studies. However, it has previously been difficult to build high
quality systems for fiction. Coreference requires complicated structured
outputs, and literary text involves subtle inferences and highly varied
language. New language-model-based seq2seq systems present the opportunity to
solve both these problems by learning to directly generate a copy of an input
sentence with markdown-like annotations. We create, evaluate, and release
several trained models for coreference, as well as a workflow for training new
models.

核指关系注释和解决是计算文学研究的重要组成部分，本研究提出了一种基于语言模型的 seq2seq 系统，能够直接生成具有类似 markdown 标注的输入句子的副本，用于解决核指关系注释和解决问题，并通过多个训练模型和工作流程进行评估和发布。

[狮子: 1] 和 [老虎: 2] 和 [熊: 3]，哇喔！配备 LLM 的文学共指注释

[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference  Annotation with LLMs

We present a new corpus with coreference annotation, Russian Coreference
Corpus (RuCoCo). The goal of RuCoCo is to obtain a large number of annotated
texts while maintaining high inter-annotator agreement. RuCoCo contains news
texts in Russian, part of which were annotated from scratch, and for the rest
the machine-generated annotations were refined by human annotators. The size of
our corpus is one million words and around 150,000 mentions. We make the corpus
publicly available.

我们提出了一个带有指代消解注释的新语料库，俄语指代消解语料库 (RuCoCo)。RuCoCo 旨在在保持高注释者一致性的同时获取大量标注的文本。我们的语料库包含了俄语的新闻文本，其中部分是从头开始注释的，而其余部分则是由机器生成的注释被人工注释精细化的。我们的语料库包含了一百万个单词和约 15 万个提及，现已公开发布。

RuCoCo：一个新的俄语语料库，带有指代标注

RuCoCo: a new Russian corpus with coreference annotation

Coreference annotation is an important, yet expensive and time consuming,
task, which often involved expert annotators trained on complex decision
guidelines. To enable cheaper and more efficient annotation, we present CoRefi,
a web-based coreference annotation suite, oriented for crowdsourcing. Beyond
the core coreference annotation tool, CoRefi provides guided onboarding for the
task as well as a novel algorithm for a reviewing phase. CoRefi is open source
and directly embeds into any website, including popular crowdsourcing
platforms.
CoRefi Demo: aka.ms/corefi Video Tour: aka.ms/corefivideo Github Repo:
this https URL

介绍一项面向众包的基于网络的指代标注工具 CoRefi，除了核心指代标注工具外还提供任务指导和新颖的审核算法，且可嵌入任何网站，具有开源特性。