Papers
Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data
Naman Goel, Boi Faltings
The 35th Uncertainty in Artificial Intelligence Conference: Preface
Ryan Adams, Vibhav Gogate
University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities
Vikas Yadav, Egoitz Laparra, Ti-Tai Wang et al.
UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution
Haonan Li, Minghan Wang, Timothy Baldwin et al.
UNH at SemEval-2019 Task 12: Toponym Resolution in Scientific Papers
Matthew Magnusson, Laura Dietz
THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers
Tao Qi, Suyu Ge, Chuhan Wu et al.
RGCL-WLV at SemEval-2019 Task 12: Toponym Detection
Alistair Plum, Tharindu Ranasinghe, Pablo Calleja et al.
ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees
Xuefeng Luo, Alina Baranova, Jonas Biegert
ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining
Qimin Zhou, Zhengxin Zhang, Hao Wu et al.
Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion Mining
Sai Prasanna, Sri Ananda Seelan
YNU-HPCC at SemEval-2019 Task 9: Using a BERT and CNN-BiLSTM-GRU Model for Suggestion Mining
Ping Yue, Jin Wang, Xuejie Zhang
YNU_DYX at SemEval-2019 Task 9: A Stacked BiLSTM for Suggestion Mining Classification
Yunxia Ding, Xiaobing Zhou, Xuejie Zhang
WUT at SemEval-2019 Task 9: Domain-Adversarial Neural Networks for Domain Adaptation in Suggestion Mining
Mateusz Klimaszewski, Piotr Andruszkiewicz
ThisIsCompetition at SemEval-2019 Task 9: BERT is unstable for out-of-domain samples
Cheoneum Park, Juae Kim, Hyeon-gu Lee et al.
Team Taurus at SemEval-2019 Task 9: Expert-informed pattern recognition for suggestion mining
Nelleke Oostdijk, Hans van Halteren
Suggestion Miner at SemEval-2019 Task 9: Suggestion Detection in Online Forum using Word Graph
Usman Ahmed, Humera Liaquat, Luqman Ahmed et al.
SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data
Rajalakshmi S, Angel Deborah S, S Milton Rajendram et al.
OleNet at SemEval-2019 Task 9: BERT based Multi-Perspective Models for Suggestion Mining
Jiaxiang Liu, Shuohuan Wang, Yu Sun
NTUA-ISLab at SemEval-2019 Task 9: Mining Suggestions in the wild
Rolandos Alexandros Potamias, Alexandros Neofytou, Georgios Siolas
NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion Mining
Samuel Pecar, Marian Simko, Maria Bielikova
MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit
Sarthak Anand, Debanjan Mahata, Kartik Aggarwal et al.
INRIA at SemEval-2019 Task 9: Suggestion Mining Using SVM with Handcrafted Features
Ilia Markov, Eric Villemonte de la Clergerie
Hybrid RNN at SemEval-2019 Task 9: Blending Information Sources for Domain-Independent Suggestion Mining
Aysu Ezen-Can, Ethem F. Can