一种从文本中提取时空信息的远程监督方法

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2016-10-31 DOI:10.1145/2996913.2996967

Seyed Iman Mirrezaei, Bruno Martins, I. Cruz

{"title":"一种从文本中提取时空信息的远程监督方法","authors":"Seyed Iman Mirrezaei, Bruno Martins, I. Cruz","doi":"10.1145/2996913.2996967","DOIUrl":null,"url":null,"abstract":"This paper describes Triplex-ST, a novel information extraction system for collecting spatio-temporal information from textual resources. Triplex-ST is based on a distantly supervised approach, which leverages rich linguistic annotations together with information in existing knowledge bases. In particular, we leverage triples associated with temporal and/or spatial contexts, e.g., as available from the YAGO knowledge base, so as to infer templates that capture new facts from previously unseen sentences.","PeriodicalId":20525,"journal":{"name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A distantly supervised method for extracting spatio-temporal information from text\",\"authors\":\"Seyed Iman Mirrezaei, Bruno Martins, I. Cruz\",\"doi\":\"10.1145/2996913.2996967\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes Triplex-ST, a novel information extraction system for collecting spatio-temporal information from textual resources. Triplex-ST is based on a distantly supervised approach, which leverages rich linguistic annotations together with information in existing knowledge bases. In particular, we leverage triples associated with temporal and/or spatial contexts, e.g., as available from the YAGO knowledge base, so as to infer templates that capture new facts from previously unseen sentences.\",\"PeriodicalId\":20525,\"journal\":{\"name\":\"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2996913.2996967\",\"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 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2996913.2996967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

本文介绍了一种从文本资源中采集时空信息的新型信息提取系统Triplex-ST。Triplex-ST基于远程监督方法，它利用丰富的语言注释以及现有知识库中的信息。特别是，我们利用与时间和/或空间上下文相关的三元组，例如，从YAGO知识库中可用的三元组，从而推断出从以前未见过的句子中捕获新事实的模板。

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

微信好友朋友圈 QQ好友复制链接

本刊更多论文

A distantly supervised method for extracting spatio-temporal information from text

This paper describes Triplex-ST, a novel information extraction system for collecting spatio-temporal information from textual resources. Triplex-ST is based on a distantly supervised approach, which leverages rich linguistic annotations together with information in existing knowledge bases. In particular, we leverage triples associated with temporal and/or spatial contexts, e.g., as available from the YAGO knowledge base, so as to infer templates that capture new facts from previously unseen sentences.

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 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

自引率

0.00%

发文量

期刊最新文献

Location corroborations by mobile devices without traces Knowledge-based trajectory completion from sparse GPS samples Particle filter for real-time human mobility prediction following unprecedented disaster Pyspatiotemporalgeom: a python library for spatiotemporal types and operations Fast transportation network traversal with hyperedges: (industrial paper)