构建首个法语即兴对话的语义表示语料库，支持自然口语分析。
ding-01 :ARG0: An AMR Corpus for Spontaneous French Dialogue
- 扩展AMR框架以捕捉法语即兴对话的语义动态和句式特点。
- 发布包含1.2万句对话的DinG语料库，标注一致性达92%以上。
- 提供可训练的解析器，辅助人工标注，适合语言资源建设者使用。
本文构建了一个法语语义语料库，对即兴法语对话进行抽象意义表示（AMR）标注。我们基于《卡坦岛》游戏中的真实对话录音，标注了DinG语料库。由于现有AMR对即兴口语动态覆盖不足，我们扩展了标注框架，以更好表达法语特有的口语结构。为保证标注一致性，我们制定了详细标注指南。语料库以知识共享许可（CC-SA-BY）发布。同时，我们在该数据上训练并评估了一个AMR解析器，该模型可作为辅助工具生成初始标注，供人工修正。本工作推动了法语对话语义资源的发展。
原文摘要 · Abstract (English)
We present our work to build a French semantic corpus by annotating French dialogue in Abstract Meaning Representation (AMR). Specifically, we annotate the DinG corpus, consisting of transcripts of spontaneous French dialogues recorded during the board game Catan. As AMR has insufficient coverage of the dynamics of spontaneous speech, we extend the framework to better represent spontaneous speech and sentence structures specific to French. Additionally, to support consistent annotation, we provide an annotation guideline detailing these extensions. We publish our corpus under a free license (CC-SA-BY). We also train and evaluate an AMR parser on our data. This model can be used as an assistance annotation tool to provide initial annotations that can be refined by human annotators. Our work contributes to the development of semantic resources for French dialogue.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。