Tag
本文提出一种基于大语言模型和文档级话语结构解析的结构保持式数据增强框架，通过识别句子间修辞关系并替换关键短语，在保持话语结构的同时实现主题偏移，从而在文本摘要和问答任务上提升模型性能。
This paper introduces DraDDP, the first publicly available English multimodal dataset for multi-party dialogue discourse parsing, built from American TV dramas with 495 segments, 6,374 utterances, and 9.1 hours of video. Benchmarks show multimodal information improves parsing of dialogue structures and relation types.