activity
20172023
most citedLearning to Select, Track, and Generate for Data-to-Text

35 citations · 78 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CL2023★ 3 cited

Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models

Qiang Zhang, Jason Naradowsky, Yusuke Miyao

Existing dialogue models may encounter scenarios which are not well-represented in the training data, and as a result generate responses that are unnatural, inappropriate, or unhel…

cs.LG2023★ 2 cited

Empirical Analysis of the Inductive Bias of Recurrent Neural Networks by Discrete Fourier Transform of Output Sequences

Taiga Ishii, Ryo Ueda, Yusuke Miyao

A unique feature of Recurrent Neural Networks (RNNs) is that it incrementally processes input sequences. In this research, we aim to uncover the inherent generalization properties,…

cs.CL2022★ 1 cited

StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning

Hong Chen, Duc Minh Vo, Hiroya Takamura +2

Existing automatic story evaluation methods place a premium on story lexical level coherence, deviating from human preference. We go beyond this limitation by considering a novel \…

cs.CV2022★ 1 cited

Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding

Erica K. Shimomoto, Edison Marrese-Taylor, Hiroya Takamura +3

This paper explores the task of Temporal Video Grounding (TVG) where, given an untrimmed video and a natural language sentence query, the goal is to recognize and determine tempora…

cs.CL2022

Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem

Qiang Zhang, Jason Naradowsky, Yusuke Miyao

We introduce the task of implicit offensive text detection in dialogues, where a statement may have either an offensive or non-offensive interpretation, depending on the listener a…

cs.CL2022

Multilingual Syntax-aware Language Modeling through Dependency Tree Conversion

Shunsuke Kando, Hiroshi Noji, Yusuke Miyao

Incorporating stronger syntactic biases into neural language models (LMs) is a long-standing goal, but research in this area often focuses on modeling English text, where constitue…