Sarcasm Detection with Self-matching Networks and Low-rank Bilinear Pooling

Author:

Xiong Tao1,Zhang Peiran1,Zhu Hongbo1,Yang Yihui2

Affiliation:

1. Alibaba Group, China

2. AfterPay, China

Publisher

ACM Press

Reference43 articles.

1. Silvio Amir, Byron C Wallace, Hao Lyu, and Paula Carvalho Mário J Silva. 2016. Modelling context with user embeddings for sarcasm detection in social media. arXiv preprint arXiv:1607.00976(2016).

2. David Bamman and Noah A Smith. 2015. Contextualized Sarcasm Detection on Twitter.ICWSM 2(2015), 15.

3. Francesco Barbieri, Francesco Ronzano, and Horacio Saggion. 2014. Italian irony detection in twitter: a first approach. In The First Italian Conference on Computational Linguistics CLiC-it. 28.

4. Francesco Barbieri, Horacio Saggion, and Francesco Ronzano. 2014. Modelling sarcasm in twitter, a novel approach. In Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. 50-58.

5. Santosh Kumar Bharti, Korra Sathya Babu, and Sanjay Kumar Jena. 2015. Parsing-based sarcasm sentiment recognition in twitter data. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015. ACM, 1373-1380.

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