Cross-lingual RST Discourse Parsing
원문 초록
Discourse parsing is an integral part of understanding information flow and argumentative structure in documents. Most previous research has focused on inducing and evaluating models from the English RST Discourse Treebank. However, discourse treebanks for other languages exist, including Spanish, German, Basque, Dutch and Brazilian Portuguese. The treebanks share the same underlying linguistic theory, but differ slightly in the way documents are annotated. In this paper, we present (a) a new discourse parser which is simpler, yet competitive (significantly better on 2/3 metrics) to state of the art for English, (b) a harmonization of discourse treebanks across languages, enabling us to present (c) what to the best of our knowledge are the first experiments on cross-lingual discourse parsing.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains
Bilingual Rhetorical Structure Parsing with Large Parallel Annotations
Unsupervised Mutual Learning of Dialogue Discourse Parsing and Topic Segmentation
Can we obtain significant success in RST discourse parsing by using Large Language Models?
Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition
토론
이 논문과 연결된 포럼 글이 아직 없습니다.