JianXiang Wang

Also published as: Jianxiang Wang


Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification
Man Lan | Jianxiang Wang | Yuanbin Wu | Zheng-Yu Niu | Haifeng Wang
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

We present a novel multi-task attention based neural network model to address implicit discourse relationship representation and identification through two types of representation learning, an attention based neural network for learning discourse relationship representation with two arguments and a multi-task framework for learning knowledge from annotated and unannotated corpora. The extensive experiments have been performed on two benchmark corpora (i.e., PDTB and CoNLL-2016 datasets). Experimental results show that our proposed model outperforms the state-of-the-art systems on benchmark corpora.


Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task
Jianxiang Wang | Man Lan
Proceedings of the CoNLL-16 shared task


ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference
Liang Yi | JianXiang Wang | Man Lan
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

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A Refined End-to-End Discourse Parser
Jianxiang Wang | Man Lan
Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task