会话分割，连接检测和关系分类

Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023) Pub Date : 1900-01-01 DOI:10.18653/v1/2023.disrpt-1.4

Wei Liu, Yi Fan, M. Strube

{"title":"会话分割，连接检测和关系分类","authors":"Wei Liu, Yi Fan, M. Strube","doi":"10.18653/v1/2023.disrpt-1.4","DOIUrl":null,"url":null,"abstract":"HITS participated in the Discourse Segmentation (DS, Task 1) and Connective Detection (CD, Task 2) tasks at the DISRPT 2023. Task 1 focuses on segmenting the text into discourse units, while Task 2 aims to detect the discourse connectives. We deployed a framework based on different pre-trained models according to the target language for these two tasks.HITS also participated in the Relation Classification track (Task 3). The main task was recognizing the discourse relation between text spans from different languages. We designed a joint model for languages with a small corpus while separate models for large corpora. The adversarial training strategy is applied to enhance the robustness of relation classifiers.","PeriodicalId":107248,"journal":{"name":"Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"HITS at DISRPT 2023: Discourse Segmentation, Connective Detection, and Relation Classification\",\"authors\":\"Wei Liu, Yi Fan, M. Strube\",\"doi\":\"10.18653/v1/2023.disrpt-1.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"HITS participated in the Discourse Segmentation (DS, Task 1) and Connective Detection (CD, Task 2) tasks at the DISRPT 2023. Task 1 focuses on segmenting the text into discourse units, while Task 2 aims to detect the discourse connectives. We deployed a framework based on different pre-trained models according to the target language for these two tasks.HITS also participated in the Relation Classification track (Task 3). The main task was recognizing the discourse relation between text spans from different languages. We designed a joint model for languages with a small corpus while separate models for large corpora. The adversarial training strategy is applied to enhance the robustness of relation classifiers.\",\"PeriodicalId\":107248,\"journal\":{\"name\":\"Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/2023.disrpt-1.4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/2023.disrpt-1.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

HITS参与了DISRPT 2023的话语分割(DS, Task 1)和连接检测(CD, Task 2)任务。Task 1的重点是将文本分割成语篇单元，Task 2的目的是检测语篇连接词。针对这两个任务，我们根据目标语言部署了基于不同预训练模型的框架。HITS还参与了关系分类轨道(Task 3)，主要任务是识别不同语言文本之间的话语关系。我们为语料库小的语言设计了一个联合模型，为语料库大的语言设计了单独的模型。采用对抗训练策略增强关系分类器的鲁棒性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

HITS at DISRPT 2023: Discourse Segmentation, Connective Detection, and Relation Classification

HITS participated in the Discourse Segmentation (DS, Task 1) and Connective Detection (CD, Task 2) tasks at the DISRPT 2023. Task 1 focuses on segmenting the text into discourse units, while Task 2 aims to detect the discourse connectives. We deployed a framework based on different pre-trained models according to the target language for these two tasks.HITS also participated in the Relation Classification track (Task 3). The main task was recognizing the discourse relation between text spans from different languages. We designed a joint model for languages with a small corpus while separate models for large corpora. The adversarial training strategy is applied to enhance the robustness of relation classifiers.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)

自引率

0.00%

发文量