Suggestion mining

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Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (32 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• DBMS-KU at SemEval-2019 Task 9: Exploring Machine Learning Approaches in Classifying Text as Suggestion or Non-Suggestion
  1 Jun 2019 3 repositories listed
  This paper describes the participation of DBMS-KU team in the SemEval 2019 Task 9, that is, suggestion mining from online reviews and forums.
• TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling
  4 May 2022 1 repository listed
  To tackle the problem of bias towards majority classes, researchers have presented various techniques to oversample the minority class data points.
• YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis
  28 Jul 2020 1 repository listed
  In recent years, the growing ubiquity of Internet memes on social media platforms, such as Facebook, Instagram, and Twitter, has become a topic of immense interest.
• Suggestion Mining from Online Reviews using ULMFiT
  19 Apr 2019 1 repository listed
  In this paper we present our approach and the system description for Sub Task A of SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums.
• NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion Mining
  5 Apr 2019 1 repository listed
  We participated in both subtasks for domain specific and also cross-domain suggestion mining.
• Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion Mining
  27 Feb 2019 1 repository listed
  This paper describes our submission for the SemEval-2019 Suggestion Mining task.