找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Natural Language Processing and Information Systems; 10th International C Andrés Montoyo,Rafael Muńoz,Elisabeth Métais Conference proceedin

[复制链接]
楼主: Adentitious
发表于 2025-3-30 09:28:52 | 显示全部楼层
Francis C. Y. Chik,Robert W. P. Luk,Korris F. L. Chungs.Presents acomprehensive and unique set of full-scale testsThis book presents the mainoutcomes of the first European research project on the seismic behavior ofadjustable steel storage pallet racking systems. In particular, it describes acomprehensive and unique set of full-scale tests designed to
发表于 2025-3-30 13:57:45 | 显示全部楼层
发表于 2025-3-30 16:37:07 | 显示全部楼层
On the Transformation of Sentences with Genitive Relations to SQL Queriesule based on a Hungarian question processor. One of the most crucial part of the system was the transformation of genitive relations to adequate SQL queries, since e.g. questions begin with “Who” and “What” mostly contain such a relation. The genitive relation is one of the most complex semantic str
发表于 2025-3-30 21:31:08 | 显示全部楼层
发表于 2025-3-31 01:59:22 | 显示全部楼层
Application of Text Categorization to Astronomy Fieldn the astronomy field, astronomers often assign different names to table columns at their will even if they are about the same attributes of sky objects. As a result, it produces a big problem for data analysis over different tables. To solve this problem, the standard vocabulary called “unified con
发表于 2025-3-31 06:06:18 | 显示全部楼层
发表于 2025-3-31 11:17:23 | 显示全部楼层
发表于 2025-3-31 17:07:26 | 显示全部楼层
Automatic Extraction of Semantic Relationships for WordNet by Means of Pattern Learning from Wikipedlopedia. Next, these patterns can be applied to extend existing ontologies or semantic networks with new relations. The experiments have been performed with the Simple English Wikipedia and WordNet 1.7. A new algorithm has been devised for automatically generalising the lexical patterns found in the
发表于 2025-3-31 18:38:39 | 显示全部楼层
Combining Data-Driven Systems for Improving Named Entity Recognition An important preprocessing tool of these tasks consists of name entities recognition, which corresponds to a Name Entity Recognition (NER) task. In this paper we propose a completely automatic NER which involves identification of proper names in texts, and classification into a set of predefined ca
发表于 2025-3-31 23:58:30 | 显示全部楼层
Natural Language Processing: Mature Enough for Requirements Documents Analysis?complete. Misunderstandings and errors of the requirements engineering phase propagate to later development phases and can potentially lead to a project failure..A promising way to overcome misunderstandings is to extract and validate terms used in requirements documents and relations between these
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-18 18:17
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表