Papers with argumentative dialogue

1 papers
ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization (2023.emnlp-main)

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Challenge: Recent development of large language models (LLMs) have boosted interest on dialogue agents . however, research on these tasks is limited by the insufficiency of public datasets . stance detection and debate summarization are key for engaging argumentative dialogues - but are not available for non-English languages.
Approach: They propose to use ORCHID to benchmark stance detection and debate summarization in Chinese debates.
Outcome: The proposed task is based on 1,218 real-world debates conducted in Chinese on 476 unique topics.

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