A two-stage RST discourse parser
-
Updated
Mar 18, 2019 - Python
A two-stage RST discourse parser
Extension of the SentenceSimplification project
End-to-end shallow discourse parser
[AAAI 2019] Code for paper "A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues"
RST Discourse Parsers
Code and data for discourse-based sentence splitting experiments.
Sense Disambiguation of Connectives for PDTB-Style Discourse Parsing
Mining Discourse Markers for Unsupervised Sentence Representation Learning
Unsupervised discourse constituency parsing using Viterbi EM (Nishida and Nakayama, 2020)
CoNLL 2016 Shallow Discourse Parsing System (Soochow University)
A discourse parsing model for multi-party dialogues.
This repository is an implementation of discourse parsers.
A neural RST discourse parser with well pre-trained XLNet.
Discourse Relations extracted from BBC News Corpus for training a shallow discourse parser
Classifying implicit relation between two consecutive sentences using LSTM, CNN
HILDA RST discourse parser (Hernault et al. 2010) in a docker container
LUNA Corpus Discourse Data Set
Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing
Add a description, image, and links to the discourse-parsing topic page so that developers can more easily learn about it.
To associate your repository with the discourse-parsing topic, visit your repo's landing page and select "manage topics."