5 papers
Argument Mining as a Text-to-Text Generation Task
Masayuki Kawarada, Tsutomu Hirao, Wataru Uchida +1
Argument Mining(AM) aims to uncover the argumentative structures within a text. Previous methods require several subtasks, such as span identification, component classification, an…
A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing
Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito +2
To promote and further develop RST-style discourse parsing models, we need a strong baseline that can be regarded as a reference for reporting reliable experimental results. This p…
Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning
Hiroki Ikeuchi, Akio Watanabe, Tsutomu Hirao +4
With the increase in scale and complexity of ICT systems, their operation increasingly requires automatic recovery from failures. Although it has become possible to automatically d…
NTT's Machine Translation Systems for WMT19 Robustness Task
Soichiro Murakami, Makoto Morishita, Tsutomu Hirao +1
This paper describes NTT's submission to the WMT19 robustness task. This task mainly focuses on translating noisy text (e.g., posts on Twitter), which presents different difficulti…
Enumeration of Extractive Oracle Summaries
Tsutomu Hirao, Masaaki Nishino, Jun Suzuki +1
To analyze the limitations and the future directions of the extractive summarization paradigm, this paper proposes an Integer Linear Programming (ILP) formulation to obtain extract…