What are the limitations of hybrid summarization?
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Hybrid summarization has several limitations. Firstly, it requires labeled data created by humans, which is time-consuming and labor-intensive . Secondly, shorter news articles are difficult to summarize, posing a challenge for hybrid summarization methods . Thirdly, the lack of large parallel training data hinders the generation of comparative summaries, which highlight similarities and contradictions in input documents . Lastly, when using language models like ChatGPT for summarizing long documents, issues such as text coherence, faithfulness, and style can arise, indicating the need for further improvement . These limitations highlight the need for more efficient and accurate methods in hybrid summarization, particularly in dealing with labeled data, shorter articles, and generating comparative summaries.
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| Papers (5) | Insight |
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| The paper mentions that the limitations of hybrid summarization using ChatGPT and C2F-FAR include issues with text coherence, faithfulness, and style. | |
Open access•Posted Content | The paper does not mention the limitations of hybrid summarization. The paper is about a method for generating comparative summaries that highlight similarities and contradictions in input documents. |
04 Aug 2022 | The limitations of hybrid summarization are not mentioned in the provided paper. |
01 Jun 2021 3 Citations | The paper does not mention the limitations of hybrid summarization. |
04 Aug 2022 | The limitations of hybrid summarization are not mentioned in the provided paper. |
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