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September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.
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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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