Market Comment Generation from Data with Noisy Alignments

no code implementations • INLG (ACL) 2020 • Yumi Hamazono, Yui Uehara, Hiroshi Noji, Yusuke Miyao, Hiroya Takamura, Ichiro Kobayashi

On top of this, we employ a copy mechanism that is suitable for referring to the content of data records in the market price data.

Comment Generation Sentence +2

Unsupervised Learning of Harmonic Analysis Based on Neural HSMM with Code Quality Templates

1 code implementation • 7 Mar 2024 • Yui Uehara

This paper presents a method of unsupervised learning of harmonic analysis based on a hidden semi-Markov model (HSMM).

Learning with Contrastive Examples for Data-to-Text Generation

1 code implementation • COLING 2020 • Yui Uehara, Tatsuya Ishigaki, Kasumi Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao

Existing models for data-to-text tasks generate fluent but sometimes incorrect sentences e. g., {``}Nikkei gains{''} is generated when {``}Nikkei drops{''} is expected.

Comment Generation Data-to-Text Generation

Learning to Select, Track, and Generate for Data-to-Text

2 code implementations • ACL 2019 • Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura

We propose a data-to-text generation model with two modules, one for tracking and the other for text generation.

Data-to-Text Generation