Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019最新文献

RST-Tace A tool for automatic comparison and evaluation of RST trees RST- tace一个自动比较和评估RST树的工具

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 Pub Date : 2019-06-01 DOI: 10.18653/v1/W19-2712

Shujun Wan, Tino Kutschbach, Anke Lüdeling, Manfred Stede

引用次数: 6

Toward Cross-theory Discourse Relation Annotation 跨理论话语关系注释研究

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 Pub Date : 2019-06-01 DOI: 10.18653/v1/W19-2702

Peter Bourgonje, Olha Zolotarenko

引用次数: 3

Towards the Data-driven System for Rhetorical Parsing of Russian Texts 俄语文本修辞分析的数据驱动系统研究

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 Pub Date : 2019-06-01 DOI: 10.18653/v1/W19-2711

Artem Shelmanov, D. Pisarevskaya, Elena Chistova, S. Toldova, M. Kobozeva, I. Smirnov

引用次数: 4

The Rhetorical Structure of Attribution 归因的修辞结构

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 Pub Date : 2019-06-01 DOI: 10.18653/v1/W19-2706

Andrew Potter

引用次数: 4

Nuclearity in RST and signals of coherence relations RST的核性与相干关系的信号

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 Pub Date : 2019-06-01 DOI: 10.18653/v1/W19-2705

Debopam Das

引用次数: 3

ToNy: Contextual embeddings for accurate multilingual discourse segmentation of full documents 上下文嵌入用于完整文档的精确多语言话语分割

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 Pub Date : 2019-06-01 DOI: 10.18653/v1/W19-2715

Philippe Muller, Chloé Braud, Mathieu Morey

{"title":"ToNy: Contextual embeddings for accurate multilingual discourse segmentation of full documents","authors":"Philippe Muller, Chloé Braud, Mathieu Morey","doi":"10.18653/v1/W19-2715","DOIUrl":"https://doi.org/10.18653/v1/W19-2715","url":null,"abstract":"Segmentation is the first step in building practical discourse parsers, and is often neglected in discourse parsing studies. The goal is to identify the minimal spans of text to be linked by discourse relations, or to isolate explicit marking of discourse relations. Existing systems on English report F1 scores as high as 95%, but they generally assume gold sentence boundaries and are restricted to English newswire texts annotated within the RST framework. This article presents a generic approach and a system, ToNy, a discourse segmenter developed for the DisRPT shared task where multiple discourse representation schemes, languages and domains are represented. In our experiments, we found that a straightforward sequence prediction architecture with pretrained contextual embeddings is sufficient to reach performance levels comparable to existing systems, when separately trained on each corpus. We report performance between 81% and 96% in F1 score. We also observed that discourse segmentation models only display a moderate generalization capability, even within the same language and discourse representation scheme.","PeriodicalId":243254,"journal":{"name":"Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122160711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 30

Towards discourse annotation and sentiment analysis of the Basque Opinion Corpus 巴斯克语意见语料库的话语注释与情感分析

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 Pub Date : 2019-06-01 DOI: 10.18653/v1/W19-2718

J. Alkorta, Koldo Gojenola, Mikel Iruskieta

引用次数: 1

Using Rhetorical Structure Theory to Assess Discourse Coherence for Non-native Spontaneous Speech 运用修辞结构理论评价非母语自发语篇连贯

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 Pub Date : 1900-01-01 DOI: 10.18653/v1/W19-2719

Xinhao Wang, Binod Gyawali, James V. Bruno, Hillary R. Molloy, Keelan Evanini, K. Zechner

{"title":"Using Rhetorical Structure Theory to Assess Discourse Coherence for Non-native Spontaneous Speech","authors":"Xinhao Wang, Binod Gyawali, James V. Bruno, Hillary R. Molloy, Keelan Evanini, K. Zechner","doi":"10.18653/v1/W19-2719","DOIUrl":"https://doi.org/10.18653/v1/W19-2719","url":null,"abstract":"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 non-native spontaneous speech, which were then employed to further improve the validity of an automated speech scoring system.","PeriodicalId":243254,"journal":{"name":"Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127798580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

EusDisParser: improving an under-resourced discourse parser with cross-lingual data EusDisParser:使用跨语言数据改进资源不足的话语解析器

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 Pub Date : 1900-01-01 DOI: 10.18653/v1/w19-2709

Mikel Iruskieta, Chloé Braud

{"title":"EusDisParser: improving an under-resourced discourse parser with cross-lingual data","authors":"Mikel Iruskieta, Chloé Braud","doi":"10.18653/v1/w19-2709","DOIUrl":"https://doi.org/10.18653/v1/w19-2709","url":null,"abstract":"Development of discourse parsers to annotate the relational discourse structure of a text is crucial for many downstream tasks. However, most of the existing work focuses on English, assuming a quite large dataset. Discourse data have been annotated for Basque, but training a system on these data is challenging since the corpus is very small. In this paper, we create the first demonstrator based on RST for Basque, and we investigate the use of data in another language to improve the performance of a Basque discourse parser. More precisely, we build a monolingual system using the small set of data available and investigate the use of multilingual word embeddings to train a system for Basque using data annotated for another language. We found that our approach to building a system limited to the small set of data available for Basque allowed us to get an improvement over previous approaches making use of many data annotated in other languages. At best, we get 34.78 in F1 for the full discourse structure. More data annotation is necessary in order to improve the results obtained with these techniques. We also describe which relations match with the gold standard, in order to understand these results.","PeriodicalId":243254,"journal":{"name":"Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122263546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A Discourse Signal Annotation System for RST Trees 基于RST树的语篇信号标注系统

Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019 Pub Date : 1900-01-01 DOI: 10.18653/v1/W19-2708

Luke Gessler, Yang Janet Liu, Amir Zeldes

引用次数: 7