TY - GEN
T1 - ECNU at SemEval-2017 Task 8
T2 - 11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
AU - Wang, Feixiang
AU - Lan, Man
AU - Wu, Yuanbin
N1 - Publisher Copyright:
© 2017 Association for Computational Linguistics
PY - 2017
Y1 - 2017
N2 - This paper describes our submissions to task 8 in SemEval 2017, i.e., Determining rumour veracity and support for rumours. Given a rumoured tweet and a plethora of replied tweets, subtask A is to label whether these tweets are support, deny, query or comment, and subtask B aims to predict the veracity (i.e., true, false, and unverified) with a confidence (in range of 0-1) of the given rumoured tweet. For both subtasks, we adopted supervised machine learning methods incorporating rich features. Since the training data is imbalanced, we specifically designed a two-step classifier to address subtask A.
AB - This paper describes our submissions to task 8 in SemEval 2017, i.e., Determining rumour veracity and support for rumours. Given a rumoured tweet and a plethora of replied tweets, subtask A is to label whether these tweets are support, deny, query or comment, and subtask B aims to predict the veracity (i.e., true, false, and unverified) with a confidence (in range of 0-1) of the given rumoured tweet. For both subtasks, we adopted supervised machine learning methods incorporating rich features. Since the training data is imbalanced, we specifically designed a two-step classifier to address subtask A.
UR - https://www.scopus.com/pages/publications/85122591258
U2 - 10.18653/v1/S17-2086
DO - 10.18653/v1/S17-2086
M3 - 会议稿件
AN - SCOPUS:85122591258
T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics
SP - 491
EP - 496
BT - ACL 2017 - 11th International Workshop on Semantic Evaluations, SemEval 2017, Proceedings of the Workshop
PB - Association for Computational Linguistics (ACL)
Y2 - 3 August 2017 through 4 August 2017
ER -