Self-training on refined clause patterns for relation extraction     

Duc-Thuan Vo  Ebrahim Bagheri 《Information processing & management》2018,54(4):686-706

Within the context of Information Extraction (IE), relation extraction is oriented towards identifying a variety of relation phrases and their arguments in arbitrary sentences. In this paper, we present a clause-based framework for information extraction in textual documents. Our framework focuses on two important challenges in information extraction: 1) Open Information Extraction and (OIE), and 2) Relation Extraction (RE). In the plethora of research that focus on the use of syntactic and dependency parsing for the purposes of detecting relations, there has been increasing evidence of incoherent and uninformative extractions. The extracted relations may even be erroneous at times and fail to provide a meaningful interpretation. In our work, we use the English clause structure and clause types in an effort to generate propositions that can be deemed as extractable relations. Moreover, we propose refinements to the grammatical structure of syntactic and dependency parsing that help reduce the number of incoherent and uninformative extractions from clauses. In our experiments both in the open information extraction and relation extraction domains, we carefully evaluate our system on various benchmark datasets and compare the performance of our work against existing state-of-the-art information extraction systems. Our work shows improved performance compared to the state-of-the-art techniques.  相似文献   

网络招聘文本技能信息自动抽取研究   总被引：1，自引：1，他引：0  

俞琰  陈磊  姜金德  赵乃瑄 《图书情报工作》2019,63(13):105-113

[目的/意义]针对目前网络招聘文本手工抽取技能信息无法满足大数据量分析要求的问题，提出一种针对大量网络招聘文本的技能信息自动抽取方法。[方法/过程]根据网络招聘文本的特点，利用依存句法分析选取候选技能，然后提出领域相关性指标衡量候选技能，将其融入传统的术语抽取方法之中，形成一种网络招聘文本技能信息自动抽取方法。[结果/结论]实验表明，本文提出的方法能够从网络招聘文本中自动、快速、准确地抽取技能信息。  相似文献   

Location extraction from tweets     

Thi Bich Ngoc Hoang  Josiane Mothe 《Information processing & management》2018,54(2):129-144

Five hundred million tweets are posted daily, making Twitter a major social media platform from which topical information on events can be extracted. These events are represented by three main dimensions: time, location and entity-related information. The focus of this paper is location, which is an essential dimension for geo-spatial applications, either when helping rescue operations during a disaster or when used for contextual recommendations. While the first type of application needs high recall, the second is more precision-oriented. This paper studies the recall/precision trade-off, combining different methods to extract locations. In the context of short posts, applying tools that have been developed for natural language is not sufficient given the nature of tweets which are generally too short to be linguistically correct. Also bearing in mind the high number of posts that need to be handled, we hypothesize that predicting whether a post contains a location or not could make the location extractors more focused and thus more effective. We introduce a model to predict whether a tweet contains a location or not and show that location prediction is a useful pre-processing step for location extraction. We define a number of new tweet features and we conduct an intensive evaluation. Our findings are that (1) combining existing location extraction tools is effective for precision-oriented or recall-oriented results, (2) enriching tweet representation is effective for predicting whether a tweet contains a location or not, (3) words appearing in a geography gazetteer and the occurrence of a preposition just before a proper noun are the two most important features for predicting the occurrence of a location in tweets, and (4) the accuracy of location extraction improves when it is possible to predict that there is a location in a tweet.  相似文献   

基于Web的网页信息抽取方法的研究   总被引：3，自引：0，他引：3  

冯伟华  苗长芬 《洛阳工业高等专科学校学报》2005,15(3):30-31

WWW的迅速发展，使其日益成为人们查找有用数据的重要来源。本文介绍了一种基于Web的信息抽取的实现方法，能够按照规则模式重复地将半结构化网页中的信息自动抽取出来。  相似文献   

面向机器人竞赛的文献分析与主题词提取          下载免费PDF全文

刘涵  刘京旋 《情报工程》2017,3(1):081-086

近年来,机器人教育在我国愈发受重视,针对机器人的竞赛也受到更多中小学、高校的教师与专家的关注。本文通过查阅机器人竞赛相关文献,介绍国内外机器人教育现状,分析国内的机器人教育文献,针对机器人竞赛的文献采用基于统计的方法,自动抽取领域主题词,获取其术语分布。  相似文献   

深度学习及其对图书情报学的启示          下载免费PDF全文

刘忠宝  赵文娟  贾君枝 《情报工程》2017,3(4):062-070

深度学习是一种新颖的机器学习方法,它已经在图像识别、语音识别、信息检索等诸多领域广泛应用并取得了巨大成功。然而,笔者参阅了近年来国内主流的情报学文献,并未发现有关深度学习的研究成果。因此,本文旨在图书情报领域引入深度学习技术,重点探讨深度学习的基本理论、应用、下一步研究重点以及对情报学的启示等问题,以期为解决图书情报学研究面临的诸多问题提供重要参考。  相似文献   

碎片拼合的轮廓提取和曲率计算   总被引：1，自引：0，他引：1  

朱延娟  张丽艳  周来水 《东南大学学报》2004,20(2):181-186

Canny算子在对物体进行轮廓提取时,会不可避免地漏检一些明显的边界,导致轮廓的不连续. 提出了一种几何方法来定位、度量轮廓上的间断点, 然后将其准确地填充起来. 在获得轮廓的完整信息后, 文中提出采用卷积积分的方法, 通过线性插值对轮廓进行重采样来计算各离散点曲率. 该方法保证了卷积窗口内离散点分布得均匀、一致, 并且使得每一离散点与其权重都满足一一对应关系, 从而保证了曲率计算的精确性. 同时给出了相关参数的选择方法. 实验结果表明,算法是准确和稳定可靠的.  相似文献   

一种简易连续萃取装置的实验研究     

余开辉  张熊禄 《赣南师范学院学报》2006,27(3):123-124

研究了一种连续萃取装置,并用这种装置代替Soxhlet萃取器进行了提取实验.结果表明,使用这种装置具有操作简便;减少溶剂消耗,降低实验成本;适合少量物质的提取;更不容易损坏;提取效率高,缩短实验时间的优点  相似文献   

酒糟制甘油的生产工艺及研究进展     

张敏 《零陵学院学报》2001,(3)

以酒糟为原料生产甘油是甘油来源的一条重要途径，对酒糟制甘油的生产及其后处理提取和纯化进行了综述，并 对我国现行的酒糟甘油的生产状况进行了分析与探讨。  相似文献   

茶叶抗氧化剂的提取及其抗氧化作用   总被引：2，自引：0，他引：2  

赵鹭飞  余建平 《赣南师范学院学报》1994,(6):30-33

本文研究了从低档茶叶中提取抗氧化剂的生产工艺并探索了对动物油脂的抗氧化作用。结果表明，抗氧化剂提取工艺简单，设备条件要求不高，提取率为１７．７５％；对猪油的抗氧化作用最佳浓度为０．０２～０．０４％。  相似文献