most citedControlling Output Length in Neural Encoder-Decoders

43 citations · 43 across the 1 of their papers we have counts for

collaborators

8 papers

cs.CL2024

CiMaTe: Citation Count Prediction Effectively Leveraging the Main Text

Jun Hirako, Ryohei Sasano, Koichi Takeda

Prediction of the future citation counts of papers is increasingly important to find interesting papers among an ever-growing number of papers. Although a paper's main text is an i…

cs.CL2024

WikiSplit++: Easy Data Refinement for Split and Rephrase

Hayato Tsukagoshi, Tsutomu Hirao, Makoto Morishita +3

The task of Split and Rephrase, which splits a complex sentence into multiple simple sentences with the same meaning, improves readability and enhances the performance of downstrea…

cs.CL2024

Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification

Kotaro Aono, Ryohei Sasano, Koichi Takeda

There are several linguistic claims about situations where words are more likely to be used as metaphors. However, few studies have sought to verify such claims with large corpora.…

cs.CL20231 cited

Japanese SimCSE Technical Report

Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda

We report the development of Japanese SimCSE, Japanese sentence embedding models fine-tuned with SimCSE. Since there is a lack of sentence embedding models for Japanese that can be…

cs.CL2023

Transformer-based Live Update Generation for Soccer Matches from Microblog Posts

Masashi Oshika, Kosuke Yamada, Ryohei Sasano +1

It has been known to be difficult to generate adequate sports updates from a sequence of vast amounts of diverse live tweets, although the live sports viewing experience with tweet…

cs.CL2023

Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction

Kosuke Yamada, Ryohei Sasano, Koichi Takeda

The semantic frame induction tasks are defined as a clustering of words into the frames that they evoke, and a clustering of their arguments according to the frame element roles th…