Papers by Imad Rizvi
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining (2021.acl-long)
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| Challenge: | Abstractive text summarization has primarily focused on modeling news articles . lack of standardized datasets for summarizing online conversations is a major problem . |
| Approach: | They propose to crowdsource four new datasets for summarizing online conversations . they incorporate argument mining through graph construction to directly model issues, viewpoints, and assertions present in a conversation. |
| Outcome: | The proposed models are compared against widely-used conversation summarization datasets and show comparable or improved results. |