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- W4321353722 abstract "Argument mining is a complex arena built up on natural language processing as its fundamental engine. We may consider it as a specialized branch of natural language processing. There are various aspects involved in argumentation mining, which involve meaning of the input corpus; sentiment of the input corpus; extraction of evidence present in the input corpus; persuasiveness of the input corpus. Each of the aspect is very challenging and has its own presence. But when all of these are put together, these can solve real-world problems. Thereby, making argument mining a lucrative avenue of research. In this paper, we have studied and analyzed various papers with respect to argument mining and its related mechanisms. We have categorically separated various aspects of argument mining and summarized the usage of these aspects in studied papers." @default.
- W4321353722 created "2023-02-20" @default.
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- W4321353722 date "2023-01-01" @default.
- W4321353722 modified "2023-10-07" @default.
- W4321353722 title "Argument Mining: A Categorical Review" @default.
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- W4321353722 doi "https://doi.org/10.1007/978-981-19-6383-4_28" @default.
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