[ hiroakih at cs.cmu.edu ] [GitHub] [Twitter]
I am a PhD Student at the Language Technologies Institute, Carnegie Mellon University, advised by Dr. Graham Neubig. My research interest is language generation with external and/or latent knowledge.
Previously, I was a master’s student working with Dr. Eduard Hovy and Dr. Teruko Mitamura on information extraction in low-resource languages.
Before that, I did my undergraduate study at Waseda University focusing on cross-lingual IR under Dr. Tetsuya Sakai’s supervision.
Publications and Preprints
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization
Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, Graham Neubig
GSum: A General Framework for Guided Neural Abstractive Summarization
Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig
What’s New? Summarizing Contributions in Scientific Literature
Hiroaki Hayashi, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong
Latent Relation Language Models
Hiroaki Hayashi,* Zecong Hu,* Chenyan Xiong, Graham Neubig
Findings of the Third Workshop on Neural Generation and Translation
Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh
Learning to Describe Phrases with Local and Global Contexts
Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Masashi Toyoda, Masaru Kitsuregawa
Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates
Hiroaki Hayashi,* Jayanth Koushik,* Graham Neubig
The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach
Littel, Tian, Xu, Sheikh, Mortensen, Levin, Tyers, Hayashi, Horwood, Sloto, Tagtow, Black, Yang, Mitamura, Hovy
Machine Translation, 2017
* Equal contribution