no code implementations • EMNLP 2021 • Yitao Cai, Yue Cao, Xiaojun Wan
Concretely, we transform a sentence into a variety of different semantic or syntactic representations (including AMR, UD, and latent semantic representation), and then decode the sentence back from the semantic representations.
1 code implementation • Findings (EMNLP) 2021 • Zhe Lin, Yitao Cai, Xiaojun Wan
Paraphrase generation is an important task in natural language processing.
1 code implementation • Findings (ACL) 2021 • Yitao Cai, Zhe Lin, Xiaojun Wan
We argue that the misprediction of concepts is due to the high relevance between English tokens and AMR concepts.
2 code implementations • EMNLP 2020 • Yitao Cai, Xiaojun Wan
Our model outperforms previous state-of-the-art model by a large margin and achieves new state-of-the-art results on the two datasets.
no code implementations • ACL 2019 • Yitao Cai, Huiyu Cai, Xiaojun Wan
We create a multi-modal sarcasm detection dataset based on Twitter.
no code implementations • ACL 2018 • Yitao Cai, Yin Li, Xiaojun Wan
In this paper, we focus on the task of pun location, which aims to identify the pun word in a given short text.