no code implementations • NAACL (ACL) 2022 • Yi-Pei Chen, Nobuyuki Shimizu, Takashi Miyazaki, Hideki Nakayama
This paper explores how humans conduct conversations with images by investigating an open-domain image conversation dataset, ImageChat.
no code implementations • EMNLP 2020 • Andrew Drozdov, Subendhu Rongali, Yi-Pei Chen, Tim O{'}Gorman, Mohit Iyyer, Andrew McCallum
The deep inside-outside recursive autoencoder (DIORA; Drozdov et al. 2019) is a self-supervised neural model that learns to induce syntactic tree structures for input sentences *without access to labeled training data*.
1 code implementation • 17 Apr 2023 • Yi-Pei Chen, An-Zi Yen, Hen-Hsen Huang, Hideki Nakayama, Hsin-Hsi Chen
Our proposed life event dialog dataset and in-depth analysis of IE frameworks will facilitate future research on life event extraction from conversations.
no code implementations • Findings (ACL) 2022 • Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig
While multilingual training is now an essential ingredient in machine translation (MT) systems, recent work has demonstrated that it has different effects in different multilingual settings, such as many-to-one, one-to-many, and many-to-many learning.
no code implementations • IJCNLP 2019 • Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, Andrew McCallum
Understanding text often requires identifying meaningful constituent spans such as noun phrases and verb phrases.
no code implementations • NAACL 2019 • Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku
In relation extraction for knowledge-based question answering, searching from one entity to another entity via a single relation is called "one hop".
no code implementations • EMNLP 2017 • Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, Lun-Wei Ku
We present MoodSwipe, a soft keyboard that suggests text messages given the user-specified emotions utilizing the real dialog data.
no code implementations • 22 Jul 2017 • Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao Kenneth Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, Lun-Wei Ku
We present MoodSwipe, a soft keyboard that suggests text messages given the user-specified emotions utilizing the real dialog data.