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Suggestion mining

Suggestion mining can be defined as the extraction of suggestions from unstructured text,

Papers

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Showing 1–32 of 32 papers

TitleStatusHype
DBMS-KU at SemEval-2019 Task 9: Exploring Machine Learning Approaches in Classifying Text as Suggestion or Non-SuggestionCode0
Suggestion Mining from Online Reviews using ULMFiTCode0
TLMOTE: A Topic-based Language Modelling Approach for Text OversamplingCode0
YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion AnalysisCode0
Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion MiningCode0
NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion MiningCode0
INRIA at SemEval-2019 Task 9: Suggestion Mining Using SVM with Handcrafted Features—0
Lijunyi at SemEval-2019 Task 9: An attention-based LSTM and ensemble of different models for suggestion mining from online reviews and forums—0
MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit—0
m\_y at SemEval-2019 Task 9: Exploring BERT for Suggestion Mining—0
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet—0
NTUA-ISLab at SemEval-2019 Task 9: Mining Suggestions in the wild—0
OleNet at SemEval-2019 Task 9: BERT based Multi-Perspective Models for Suggestion Mining—0
Open Domain Suggestion Mining Leveraging Fine-Grained Analysis—0
Open Domain Suggestion Mining: Problem Definition and Datasets—0
SemEval-2019 Task 9: Suggestion Mining from Online Reviews and Forums—0
SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data—0
Suggestion Miner at SemEval-2019 Task 9: Suggestion Detection in Online Forum using Word Graph—0
Suggestion Mining from Opinionated Text—0
Team Taurus at SemEval-2019 Task 9: Expert-informed pattern recognition for suggestion mining—0
ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples—0
WUT at SemEval-2019 Task 9: Domain-Adversarial Neural Networks for Domain Adaptation in Suggestion Mining—0
Yimmon at SemEval-2019 Task 9: Suggestion Mining with Hybrid Augmented Approaches—0
YNU\_DYX at SemEval-2019 Task 9: A Stacked BiLSTM for Suggestion Mining Classification—0
YNU-HPCC at SemEval-2019 Task 9: Using a BERT and CNN-BiLSTM-GRU Model for Suggestion Mining—0
A Corpus for Suggestion Mining of German Peer Feedback—0
ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining—0
Aspect Oriented Suggestion Extraction from Online Reviews—0
DS at SemEval-2019 Task 9: From Suggestion Mining with neural networks to adversarial cross-domain classification—0
Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network—0
Hybrid RNN at SemEval-2019 Task 9: Blending Information Sources for Domain-Independent Suggestion Mining—0
Inducing Distant Supervision in Suggestion Mining through Part-of-Speech Embeddings—0
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