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Proceedings of DISRPT 2019 - The Workshop on Discourse Relation Parsing and Treebanking. NAACL HLT 2019

Association for Computational Linguistics, 2019.
Under the general editorship: A. Zeldes, D. Das, E. G. Maziero, J. D. Antonio, M. Iruskieta

This book summarizes the main topics at the 2019 workshop on Discourse Relation Parsing and Treebanking (DISRPT 2019). Co-located with NAACL 2019 in Minneapolis, the workshop’s aim was to bring together researchers working on corpus-based and computational approaches to discourse relations. In addition to an invited talk, eighteen papers outlined below were presented, four of which were submitted as part of a shared task on elementary discourse unit segmentation and connective detection.

Chapters
Towards the Data-driven System for Rhetorical Parsing of Russian Texts.
Toldova S., Chistova E., Kobozeva M. et al., , in: Proceedings of DISRPT 2019 - The Workshop on Discourse Relation Parsing and Treebanking. NAACL HLT 2019.: Association for Computational Linguistics, 2019.
Results of the first experimental evaluation of machine learning models trained on RuRSTreebank – first Russian corpus annotated within RST framework – are presented. Various lexical, quantitative, morphological, and semantic features were used. In rhetorical relation classification, the ensemble of CatBoost model with selected features and a linear SVM model provides the best score (macro ...
Added: April 22, 2020
Language: English
Text on another site
Keywords: discourse connectivesdiscourse segmentationdiscourse parsingdiscourse treebanks
Proceedings of DISRPT 2019 - The Workshop on Discourse Relation Parsing and Treebanking. NAACL HLT 2019
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