Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization

Nov 16, 2020
Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, Graham Neubig

* Transaction of the ACL 

  Access Paper or Ask Questions

What's New? Summarizing Contributions in Scientific Literature

Nov 09, 2020
Hiroaki Hayashi, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong

* 9 pages, 5 tables, 2 figures 

  Access Paper or Ask Questions

GSum: A General Framework for Guided Neural Abstractive Summarization

Oct 15, 2020
Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig

  Access Paper or Ask Questions

Findings of the Third Workshop on Neural Generation and Translation

Oct 30, 2019
Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh

* Fixed the metadata (author list) 

  Access Paper or Ask Questions

Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs

Aug 30, 2019
Dongyeop Kang, Hiroaki Hayashi, Alan W Black, Eduard Hovy

* EMNLP 2019 

  Access Paper or Ask Questions

Latent Relation Language Models

Aug 21, 2019
Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig

  Access Paper or Ask Questions

Learning to Describe Phrases with Local and Global Contexts

Nov 01, 2018
Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Masashi Toyoda, Masaru Kitsuregawa

  Access Paper or Ask Questions

Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates

Jun 11, 2018
Hiroaki Hayashi, Jayanth Koushik, Graham Neubig

* New experiments, rewrite 

  Access Paper or Ask Questions