NLP-Discourse-SoochowU
<Discourse Analysis, Soochow University>|<Explanation Generation & Text Summarization, A*STAR-I2R>| Email: zhangly@i2r.a-star.edu.sg
I2R A*STAR | Soochow UniversitySingapore | Suzhou, China
NLP-Discourse-SoochowU's Stars
NLP-Discourse-SoochowU/CASC_monolingual
Codes and data for paper "Zhang et al., Comprehensive Abstractive Comment Summarization with Dynamic Clustering and Chain of Thought, ACL 2024".
NLP-Discourse-SoochowU/cdtb_dp2018
A shift-reduce bottom parser on the Chinese CDTB corpus.
NLP-Discourse-SoochowU/segmenter2020
RST-style EDU Segmentation.
NLP-Discourse-SoochowU/rst_dp2018
Using shift-reduce method in discourse parsing.
NLP-Discourse-SoochowU/Birep_DP
A text-level discourse parser that integrates top-down global information and bottom-up local information.
NLP-Discourse-SoochowU/da_parser
"Self-Trained and Self-Purified Data Augmentation for RST Parsing"
NLP-Discourse-SoochowU/DTCP
Longyin Zhang et al., EDTC: A Corpus for Discourse-Level Topic Chain Parsing, In EMNLP2021.
NLP-Discourse-SoochowU/t2d_discourseparser
A top-down text-level discourse parser.
NLP-Discourse-SoochowU/rst_dp2019
A recent study on English RST-style Text-level Discourse Parsing
NLP-Discourse-SoochowU/TER
Project on the entailment reasoning task.
NLP-Discourse-SoochowU/GAN_DP
Longyin Zhang, Fang Kong, and Guodong Zhou. Adversarial Learning for Discourse Rhetorical Structure Parsing. Accepted by ACL-IJCNLP2021.
NLP-Discourse-SoochowU/sota_end2end_parser
According to my recent four years' research in DRS parsing, I will publish a pre-trained end-to-end DRS parser here for other researchers to directly apply it to specific NLP downstream tasks. Researchers using this project please cite our paper at xxx (coming soon).
IBM/Project_CodeNet
This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX