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

TL;DR

This paper introduces a large-scale annotated dataset for discourse parsing and machine comprehension in multi-party dialogues, based on the Ubuntu Chat Corpus, enabling better understanding of complex multi-party conversations.

Contribution

It presents the first large-scale corpus for multi-party dialogue discourse parsing and proposes a new task for machine reading comprehension in this context.

Findings

First large-scale multi-party dialogue discourse parsing corpus

Annotated discourse structures and question-answer pairs

Introduced a novel multi-party dialogue comprehension task

Abstract

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.