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An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension

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arxiv 1911.03514 v1 pith:TTEVHJAB submitted 2019-11-08 cs.CL

Jiaqi Li , Ming Liu , Bing Qin , Zihao Zheng , Ting Liu This is my paper · ORCID
classification cs.CL
keywords dialoguesmulti-partydiscoursecomprehensionmachineparsingchatcorpus
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In this paper, we propose the scheme for annotating large-scale multi-party chat dialogues for discourse parsing and machine comprehension. The main goal of this project is to help understand multi-party dialogues. Our dataset is based on the Ubuntu Chat Corpus. For each multi-party dialogue, we annotate the discourse structure and question-answer pairs for dialogues. As we know, this is the first large scale corpus for multi-party dialogues discourse parsing, and we firstly propose the task for multi-party dialogues machine reading comprehension.

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  1. CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations

    cs.CL 2025-06 conditional novelty 7.0 of 10

    Introduces CoMuMDR, a code-mixed, multi-modal, multi-domain discourse corpus for conversations, with benchmarks showing poor relation classification by current models.

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