A Simple and Strong Baseline for End-to-End Neural RST-style Discourse
Parsing

A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing

15 October 2022

Naoki Kobayashi

Hidetaka Kamigaito

Papers citing "A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing"

5 / 5 papers shown

Title
Bilingual Rhetorical Structure Parsing with Large Parallel Annotations Elena Chistova 23 0 0 23 Sep 2024
eRST: A Signaled Graph Theory of Discourse Relations and Organization Amir Zeldes Tatsuya Aoyama Yang Janet Liu Siyao Peng Debopam Das Luke Gessler 35 2 0 20 Mar 2024
Can we obtain significant success in RST discourse parsing by using Large Language Models? Aru Maekawa Tsutomu Hirao Hidetaka Kamigaito Manabu Okumura 21 2 0 08 Mar 2024
Topic-driven Distant Supervision Framework for Macro-level Discourse Parsing Feng Jiang Longwang He Peifeng Li Qiaoming Zhu Haizhou Li 13 0 0 23 May 2023
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,453 0 23 Jan 2020