YNU-oxz at SemEval-2020 Task 4: Commonsense Validation Using BERT with Bidirectional GRU

no code implementations • SEMEVAL 2020 • Xiaozhi Ou, Hongling Li

This paper describes the system and results of our team participated in SemEval-2020 Task4: Commonsense Validation and Explanation (ComVE), which aim to distinguish meaningful natural language statements from unreasonable natural language statements.

Explanation Generation

YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network

no code implementations • SEMEVAL 2020 • Xiaozhi Ou, Shengyan Liu, Hongling Li

This paper describes the system and results of our team{'}s participation in SemEval-2020 Task5: Modelling Causal Reasoning in Language: Detecting Counterfactuals, which aims to simulate counterfactual semantics and reasoning in natural language.

counterfactual Dimensionality Reduction +1

Zyy1510 Team at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text with Sub-word Level Representations

no code implementations • SEMEVAL 2020 • Yueying Zhu, Xiaobing Zhou, Hongling Li, Kunjie Dong

This ensemble model combines the advantage of rich sequential patterns and the intermediate features after convolution from the LSTM model, and the polarity of keywords from the MNB model to obtain the final sentiment score.

Sentiment Analysis

YNU\_oxz at SemEval-2020 Task 12: Bidirectional GRU with Capsule for Identifying Multilingual Offensive Language

no code implementations • SEMEVAL 2020 • Xiaozhi Ou, Hongling Li

We only participated in subtask A of English to identify offensive language.