Generating Attractive and Authentic Copywriting from Customer Reviews (2024.naacl-long)
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| Challenge: | Typical approaches to copywriting focus on product attributes, leading to dull and repetitive content. |
| Approach: | They propose to generate copywriting based on customer reviews as they provide firsthand practical experiences with products, offering a richer source of information than just product attributes. |
| Outcome: | The proposed framework outperforms baseline and zero-shot large language models in terms of both attractiveness and faithfulness. |
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| Challenge: | Existing approaches to generate reviews using attribute identifiers are limited and dependent on how well they can capture vector representations of attributes. |
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Unsupervised Opinion Summarization as Copycat-Review Generation (2020.acl-main)
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| Challenge: | Recent work on opinion summarization has focused on extracting fragments from reviews, but we use novel sentences to generate abstractive summaries. |
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| Challenge: | Existing methods to generate questions for verbose reviews are inefficient for potential consumers . lack of training data hinders efficient review digestion, authors say . |
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Ilya Boytsov, Vinny DeGenova, Mikhail Balyasin, Joseph Walt, Caitlin Eusden, Marie-Claire Rochat, Margaret Pierson
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| Challenge: | RevieWeaver extracts key product features and provides concise review summaries . a condensed list of key features, pros, and cons, along with a brief summary of customer opinions can help mitigate this issue. |
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Tejpalsingh Siledar, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera, Pushpak Bhattacharyya
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Learning to Generate Structured Output with Schema Reinforcement Learning (2025.acl-long)
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Yaxi Lu, Haolun Li, Xin Cong, Zhong Zhang, Yesai Wu, Yankai Lin, Zhiyuan Liu, Fangming Liu, Maosong Sun
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InsightNet : Structured Insight Mining from Customer Feedback (2023.emnlp-industry)
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Sandeep Sricharan Mukku, Manan Soni, Chetan Aggarwal, Jitenkumar Rana, Promod Yenigalla, Rashmi Patange, Shyam Mohan
| Challenge: | Existing methods for extracting structured insights from reviews suffer from drawbacks . lack of structure, non-standard aspect names, lack of abundant training data limit their effectiveness and applicability. |
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