Suggestion mining
6 papers with code • 0 benchmarks • 0 datasets
Suggestion mining can be defined as the extraction of suggestions from unstructured text,
Benchmarks
These leaderboards are used to track progress in Suggestion mining
Most implemented papers
DBMS-KU at SemEval-2019 Task 9: Exploring Machine Learning Approaches in Classifying Text as Suggestion or Non-Suggestion
This paper describes the participation of DBMS-KU team in the SemEval 2019 Task 9, that is, suggestion mining from online reviews and forums.
Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion Mining
This paper describes our submission for the SemEval-2019 Suggestion Mining task.
NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion Mining
We participated in both subtasks for domain specific and also cross-domain suggestion mining.
Suggestion Mining from Online Reviews using ULMFiT
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.
YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis
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.
TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling
To tackle the problem of bias towards majority classes, researchers have presented various techniques to oversample the minority class data points.