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Discourse Parsing

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크

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평가표

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보존된 평가 기록

66

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/serenayj/DeSSE

공식 코드

ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences

https://github.com/shizhouxing/DialogueDiscourseParsing

공식 코드

A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues

https://github.com/tchewik/bilingualrsp

공식 코드

Bilingual Rhetorical Structure Parsing with Large Parallel Annotations

https://github.com/tungngthanh/rst_parser

공식 코드

RST Parsing from Scratch

https://github.com/yifan-gao/open_retrieval_conversational_machine_reading

공식 코드

Open-Retrieval Conversational Machine Reading

https://github.com/yxfansuda/gptfordda

공식 코드

Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Study

https://github.com/Akanni96/feng-hirst-rst-parser

Two-pass Discourse Segmentation with Pairing and Global Features

https://github.com/DeepLearnXMU/Structure-Self-Aware

https://github.com/EducationalTestingService/rstfinder

Fast Rhetorical Structure Theory Discourse Parsing

https://github.com/NLP-Discourse-SoochowU/t2d_discourseparser

A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure

https://github.com/NLPbox/feng-hirst-service

Two-pass Discourse Segmentation with Pairing and Global Features

https://github.com/PKU-TANGENT/NeuralEDUSeg

Toward Fast and Accurate Neural Discourse Segmentation

https://github.com/ZiningZhu/feng-hirst-rst-parser

Two-pass Discourse Segmentation with Pairing and Global Features

https://github.com/aakash222/text-segmentation-NLP

Text Segmentation by Cross Segment Attention

https://github.com/anthonysicilia/equitable-dialogue-acl2023

The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error

https://github.com/anthonysicilia/leather-aacl2022

The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error

https://github.com/anthonysicilia/pacbayes-adaptation-uai2022

The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error

https://github.com/arne-cl/feng-hirst-rst-parser

Two-pass Discourse Segmentation with Pairing and Global Features

https://github.com/arne-cl/rst-workbench

Fast Rhetorical Structure Theory Discourse Parsing

https://github.com/fajri91/NeuralRST

https://github.com/hadiveisi/PersianRST

Persian Rhetorical Structure Theory

https://github.com/jiyfeng/DPLP

https://github.com/kevinsrr/unicmr

Open-Retrieval Conversational Machine Reading

https://github.com/nlpat/MEGA-DT

MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision

https://github.com/nttcslab-nlp/Top-Down-RST-Parser

https://github.com/ntunlp/ptrnet-depparser

Hierarchical Pointer Net Parsing

https://github.com/ntunlpsg/UnifiedParser_RST

A Unified Linear-Time Framework for Sentence-Level Discourse Parsing

https://github.com/rst-workbench/rst-workbench

Fast Rhetorical Structure Theory Discourse Parsing

https://github.com/shawnlimn/UnifiedParser_RST

A Unified Linear-Time Framework for Sentence-Level Discourse Parsing

https://github.com/yizhongw/StageDP

https://github.com/yunan4nlp/sa-dpmd

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.