Open Domain Suggestion Mining Leveraging Fine-Grained Analysis
Shreya Singal,
Tanishq Goel,
Shivang Chopra
et al.
Abstract:Suggestion mining tasks are often semantically complex and lack sophisticated methodologies that can be applied to real-world data. The presence of suggestions across a large diversity of domains and the absence of large labelled and balanced datasets render this task particularly challenging to deal with. In an attempt to overcome these challenges, we propose a two-tier pipeline that leverages Discourse Marker based oversampling and fine-grained suggestion mining techniques to retrieve suggestions from online… Show more
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