atlas

Research map / Label-efficient and robust learning / Recognition and long-tail

Top-Down RST Parsing Utilizing Granularity Levels in Documents

AAAI 2020 · Label-efficient and robust learning › Recognition and long-tail · approach: Multilingual language representation pretraining · 47 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
add sentence level of granularity (D2E to D2S2E) (ablation)top-down RST parser · RST-DT testSpan F1: 86.1 -> 86.4Helped
add paragraph level of granularity (D2S2E to D2P2S2E) (ablation)top-down RST parser · RST-DT testSpan F1: 86.4 -> 87.0Helped
add paragraph level of granularity (D2S2E to D2P2S2E) (ablation)top-down RST parser · RST-DT testNuc F1: 73.4 -> 74.6Helped
add paragraph level of granularity (D2S2E to D2P2S2E) (ablation)top-down RST parser · RST-DT testRel F1: 59.4 -> 60.0Helped
add paragraph level of granularity (D2S2E to D2P2S2E) (ablation)top-down RST parser · RST-DT dependency treesUAS: 64.0 -> 64.9Helped
add paragraph level of granularity (D2S2E to D2P2S2E) (ablation)top-down RST parser · RST-DT dependency treesLAS: 46.3 -> 48.5Helped
explicit granularity levels instead of boundary embeddings (D2E to D2P2S2E) (ablation)top-down RST parser · RST-DT dependency treesUAS: 63.9 -> 64.9Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy