Papers with Code 아카이브
Discourse Parsing
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/21644h/DP_QA_joint_model
공식 코드https://github.com/EducationalTestingService/discourse-parsing
공식 코드https://github.com/HIT-SCIR/Molweni
공식 코드https://github.com/HKUST-KnowComp/ASER
공식 코드https://github.com/HKUST-KnowComp/BMGF-RoBERTa
공식 코드https://github.com/Wendy-Xiao/summ_guided_disco_parser
공식 코드Predicting Discourse Trees from Transformer-based Neural Summarizers
https://github.com/Yifan-Gao/Discern
공식 코드Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
https://github.com/anthonysicilia/change-that-matters-acl2022
공식 코드The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error
https://github.com/arjunakula/Visual-Discourse-Parsing
공식 코드https://github.com/chijames/structured_dialogue_discourse_parsing
공식 코드https://github.com/diccooo/Deep_Enhanced_Repr_for_IDRR
공식 코드Deep Enhanced Representation for Implicit Discourse Relation Recognition
https://github.com/elisaF/news-med-segmentation
공식 코드https://github.com/exploration-lab/comumdr
공식 코드CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations
https://github.com/fajri91/NeuralRST-TopDown
공식 코드https://github.com/fjiangai/cpts
공식 코드https://github.com/grig-guz/coherence-rst
공식 코드https://github.com/gucorpling/GumDrop
공식 코드https://github.com/gucorpling/discodisco
공식 코드https://github.com/gucorpling/gentle
공식 코드GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
https://github.com/gucorpling/gum2pdtb
공식 코드https://github.com/janetlauyeung/crossGENRE4RST
공식 코드Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity
https://github.com/janetlauyeung/nlperrors4rst
공식 코드What's Hard in English RST Parsing? Predictive Models for Error Analysis
https://github.com/jeff-sue/urt
공식 코드Unsupervised Mutual Learning of Dialogue Discourse Parsing and Topic Segmentation
https://github.com/kaayy/josydipa
공식 코드Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank
https://github.com/lalalamdbf/plse_idrr
공식 코드Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition
https://github.com/lingchensanwen/qudeval
공식 코드QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing
https://github.com/logan-siyao-peng/gcdt
공식 코드GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing
https://github.com/mjlaali/CLaCDiscourseParser
공식 코드https://github.com/naslabbgu/stem
공식 코드STEM: Unsupervised STructural EMbedding for Stance Detection
https://github.com/ningningyang/DiscProReco
공식 코드https://github.com/nttcslab-nlp/rstparser_eacl24
공식 코드Can we obtain significant success in RST discourse parsing by using Large Language Models?
https://github.com/nttcslab-nlp/rstparser_emnlp22
공식 코드A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing
https://github.com/seq-to-mind/DDP_parsing
공식 코드Improving Multi-Party Dialogue Discourse Parsing via Domain Integration
https://github.com/seq-to-mind/DMRST_Parser
공식 코드https://github.com/serenayj/ABCD-ACL2021
공식 코드ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.