no code implementations • SEMEVAL 2020 • Rida Miraj, Masaki Aono
This paper describes our contribution to SemEval-2020 Task 7: Assessing Humor in Edited News Headlines.
no code implementations • 11 May 2021 • Rida Miraj, Masaki Aono
A multi-kernel convolution in our neural network was also employed to extract higher-level sentence representations.
no code implementations • SEMEVAL 2020 • Abu Nowshed Chy, Umme Aymun Siddiqua, Masaki Aono
A meme is a pictorial representation of an idea or theme.
no code implementations • SEMEVAL 2020 • Keisuke Hanahata, Masaki Aono
In recent years, with the development of social network services and video distribution services, there has been a sharp increase in offensive posts.
no code implementations • SEMEVAL 2020 • Khanddorj Mendbayar, Masaki Aono
Using a natural language understanding system for commonsense comprehension is getting increasing attention from researchers.
no code implementations • 1 Mar 2020 • David Pickup, Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Z Cheng, Zhouhui Lian, Masaki Aono, A. Ben Hamza, A Bronstein, M Bronstein, S Bu, Umberto Castellani, S Cheng, Valeria Garro, Andrea Giachetti, Afzal Godil, Luca Isaia, J. Han, Henry Johan, L Lai, Bo Li, C. Li, Haisheng Li, Roee Litman, X. Liu, Z Liu, Yijuan Lu, L. Sun, G Tam, Atsushi Tatsuma, J. Ye
In addition, further participants have also taken part, and we provide extra analysis of the retrieval results.
no code implementations • SEMEVAL 2019 • Umme Aymun Siddiqua, Abu Nowshed Chy, Masaki Aono
In the age of emerging volume of microblog platforms, especially twitter, hate speech propagation is now of great concern.
no code implementations • NAACL 2019 • Umme Aymun Siddiqua, Abu Nowshed Chy, Masaki Aono
Stance detection in twitter aims at mining user stances expressed in a tweet towards a single or multiple target entities.
no code implementations • SEMEVAL 2018 • Masaki Aono, Shinnosuke Himeno
This paper describes our approach to SemEval-2018 Task1: Estimation of Affects in Tweet for 1a and 2a.
no code implementations • 12 Feb 2015 • Md. Hanif Seddiqui, Rudra Pratap Deb Nath, Masaki Aono
Automatic weight generation is a non-trivial, however an important task in instance matching technique.