Rhetorical Relations in the Speech of Alzheimer’s Patients and Healthy Elderly Subjects: An Approach from the RST

Paulino, Anayeli; Sierra, Gerardo; Hernández-Domínguez, Laura; Cunha, Iria da; Bel-Enguix, Gemma

doi:10.13053/cys-22-3-3028

Cited by 4 publications

(3 citation statements)

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“…Related work has also been conducted to analyze discourse relations in spoken language, which is produced and processed differently from written texts (Rehbein et al, 2016), and often lacks explicit discourse connectives that are more frequent in written language. For example, RST has been used to analyze the semi-structured interviews of Alzheimer's patients (Paulino and Sierra, 2017;Paulino et al, 2018). However, the annotation scheme with shallow discourse structure and relations from the PDTB (Prasad et al, 2008) has been generally used for spoken language (Demirsahin and Zeyrek, 2014;Stoyanchev and Bangalore, 2015) instead of the rooted-tree structure that is employed in RST.…”

Section: Previous Workmentioning

confidence: 99%

Using Rhetorical Structure Theory to Assess Discourse Coherence for Non-native Spontaneous Speech

Wang¹,

Gyawali²,

Bruno³

et al. 2019

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019

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This study aims to model the discourse structure of spontaneous spoken responses within the context of an assessment of English speaking proficiency for non-native speakers. Rhetorical Structure Theory (RST) has been commonly used in the analysis of discourse organization of written texts; however, limited research has been conducted to date on RST annotation and parsing of spoken language, in particular, non-native spontaneous speech. Due to the fact that the measurement of discourse coherence is typically a key metric in human scoring rubrics for assessments of spoken language, we conducted research to obtain RST annotations on non-native spoken responses from a standardized assessment of academic English proficiency. Subsequently, automatic parsers were trained on these annotations to process non-native spontaneous speech. Finally, a set of features were extracted from automatically generated RST trees to evaluate the discourse structure of nonnative spontaneous speech, which were then employed to further improve the validity of an automated speech scoring system.

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Section: Previous Workmentioning

confidence: 99%

Using Rhetorical Structure Theory to Assess Discourse Coherence for Non-native Spontaneous Speech

Wang¹,

Gyawali²,

Bruno³

et al. 2019

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019

View full text Add to dashboard Cite

show abstract

“…Related work has also been conducted to analyze discourse relations in spoken language, which is produced and processed differently from written texts , and often lacks explicit discourse connectives that are more frequent in written language. For example, RST has been used to analyze the semi-structured interviews of Alzheimer's patients (Paulino and Sierra, 2017;Paulino et al, 2018). However, the annotation scheme with shallow discourse structure and relations from the PDTB has been generally used for spoken language (Demirsahin and Zeyrek, 2014;Stoyanchev and Bangalore, 2015) instead of the rooted-tree structure that is employed in RST.…”

Section: Previous Workmentioning

confidence: 99%

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019

2019

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This overview summarizes the main contributions of the accepted papers 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.

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“…Rhetorical Structure Theory (RST) provides a formalism for hierarchical text organization that can be applied to a wide range of natural language processing tasks, ranging from text generation (Marcu, 1997;Konstas and Lapata, 2013) to the assessment of conversational patterns of Alzheimer's patients (Abdalla et al, 2018;Paulino et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Using and comparing Rhetorical Structure Theory parsers with rst-workbench

Neumann¹

2021

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrati

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I present rst-workbench, a software package that simplifies the installation and usage of numerous end-to-end Rhetorical Structure Theory (RST) parsers. 1 The tool offers a webbased interface that allows users to enter text and let multiple RST parsers generate analyses concurrently. The resulting RST trees can be compared visually, manually post-edited (in the browser) and stored for later usage.

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Rhetorical Relations in the Speech of Alzheimer’s Patients and Healthy Elderly Subjects: An Approach from the RST

Cited by 4 publications

References 10 publications

Using Rhetorical Structure Theory to Assess Discourse Coherence for Non-native Spontaneous Speech

Using Rhetorical Structure Theory to Assess Discourse Coherence for Non-native Spontaneous Speech

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019

Using and comparing Rhetorical Structure Theory parsers with rst-workbench

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