FIRE 2022 ILSUM轨道:印度语言摘要

Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation Pub Date : 2022-12-09 DOI:10.1145/3574318.3574328

Shrey Satapara, Bhavan Modha, Sandip J Modha, Parth Mehta

{"title":"FIRE 2022 ILSUM轨道:印度语言摘要","authors":"Shrey Satapara, Bhavan Modha, Sandip J Modha, Parth Mehta","doi":"10.1145/3574318.3574328","DOIUrl":null,"url":null,"abstract":"This abstract provides a short overview of the first edition of the shared task on Indian Language Summarization (ILSUM) organized at the 14th Forum for Information Retrieval Evaluation (FIRE 2022). A more detailed discussion is available in the track overview paper. The objective of this shared task was to create benchmark data for text summarization in Indian languages. This edition included three languages Hindi, Gujarati, and Indian English which is an officially recognized dialect of English mainly used in the Indian subcontinent. The task saw an enthusiastic response, with registrations from over 50 teams. A total of 12 teams submitted test runs across the three languages out of which 10 teams submitted working notes. Standard ROUGE metrics were used as the evaluation metric.","PeriodicalId":270700,"journal":{"name":"Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"FIRE 2022 ILSUM Track: Indian Language Summarization\",\"authors\":\"Shrey Satapara, Bhavan Modha, Sandip J Modha, Parth Mehta\",\"doi\":\"10.1145/3574318.3574328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This abstract provides a short overview of the first edition of the shared task on Indian Language Summarization (ILSUM) organized at the 14th Forum for Information Retrieval Evaluation (FIRE 2022). A more detailed discussion is available in the track overview paper. The objective of this shared task was to create benchmark data for text summarization in Indian languages. This edition included three languages Hindi, Gujarati, and Indian English which is an officially recognized dialect of English mainly used in the Indian subcontinent. The task saw an enthusiastic response, with registrations from over 50 teams. A total of 12 teams submitted test runs across the three languages out of which 10 teams submitted working notes. Standard ROUGE metrics were used as the evaluation metric.\",\"PeriodicalId\":270700,\"journal\":{\"name\":\"Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3574318.3574328\",\"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 14th Annual Meeting of the Forum for Information Retrieval Evaluation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3574318.3574328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 11

摘要

本摘要提供了第14届信息检索评估论坛(FIRE 2022)组织的第一版印度语言摘要共享任务(ILSUM)的简要概述。在轨道概述文件中有更详细的讨论。这个共享任务的目标是为印度语言的文本摘要创建基准数据。这个版本包括三种语言印地语，古吉拉特语和印度英语，这是一种官方认可的英语方言，主要在印度次大陆使用。这项任务得到了热烈的响应，有50多个团队注册。总共有12个团队提交了跨三种语言的测试运行，其中10个团队提交了工作说明。使用标准ROUGE度量作为评价度量。

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

FIRE 2022 ILSUM Track: Indian Language Summarization

This abstract provides a short overview of the first edition of the shared task on Indian Language Summarization (ILSUM) organized at the 14th Forum for Information Retrieval Evaluation (FIRE 2022). A more detailed discussion is available in the track overview paper. The objective of this shared task was to create benchmark data for text summarization in Indian languages. This edition included three languages Hindi, Gujarati, and Indian English which is an officially recognized dialect of English mainly used in the Indian subcontinent. The task saw an enthusiastic response, with registrations from over 50 teams. A total of 12 teams submitted test runs across the three languages out of which 10 teams submitted working notes. Standard ROUGE metrics were used as the evaluation metric.

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 14th Annual Meeting of the Forum for Information Retrieval Evaluation

自引率

0.00%

发文量