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A hybrid method for detecting outdated information in Wikipedia infoboxes

Thong Tran, Tru H. Cao
2013 The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)  
Our method uses the pattern-based fact extraction approach. The patterns for fact extraction are automatically learned using a number of available seeds in related Wikipedia infoboxes.  ...  In this paper, we propose a method to automatically detect outdated attribute values in Wikipedia infoboxes by using facts extracted from the general Web.  ...  It then uses those sentences to learn patterns to extract instances of that relation.  ... 
doi:10.1109/rivf.2013.6719874 dblp:conf/rivf/TranC13 fatcat:ih3y45lh4zb2zksf5kjgwmaapu

Automatic Detection of Outdated Information in Wikipedia Infoboxes

Thong Tran, Tru H. Cao
2013 Research in Computing Science  
Our method uses the pattern-based fact extraction approach. The patterns for fact extraction are automatically learned using a number of available seeds in related Wikipedia infoboxes.  ...  In this paper, we propose a method to automatically detect outdated attribute values in Wikipedia infoboxes by using facts extracted from the general Web.  ...  Fact Extractor Patterns learned in the previous stage are used to extract facts from the Web that are related to the possibly outdated target fact in a Wikipedia infobox.  ... 
doi:10.13053/rcs-70-1-16 fatcat:ipdvvqveina7lnezewcr6u4rwq

Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features [chapter]

Yulan Yan, Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
2010 Lecture Notes in Computer Science  
Binary semantic relation extraction from Wikipedia is particularly useful for various NLP and Web applications.  ...  On the other hand, Web features are extracted from the Web corpus to provide frequency information for relation extraction.  ...  For each entity pair, generates linguistic features from corresponding Wikipedia texts using linguistic analysis and extracts Web features from context information by searching the Web.  ... 
doi:10.1007/978-3-642-12116-6_45 fatcat:iwbj6aors5he5fimbljr7wihr4

Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners

Jhih-Jie Chen, Chingyu Yang, Peichen Ho, Ming Chiao Tsai, Chia-Fang Ho, Kai-Wen Tuan, Chung-Ting Tsai, Wen-Bin Han, Jason Chang
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations  
In our approach, grammar patterns, collocations, representative examples are extracted, aimed at providing rich lexical information for any target words.  ...  Evaluation on a set of target words shows that the method has reasonably good performance in terms of generating useful and correct information for vocabulary learning.  ...  Extracting grammar patterns, collocations and example sentences We extract grammar patterns, collocations and example sentences from Corpus of Contemporary American English (COCA) and data from Cambridge  ... 
doi:10.18653/v1/p19-3034 dblp:conf/acl/ChenYHTHTTHC19 fatcat:a3hckkadjnbtto56gc2qkzhuya

Semantic Relationship Extraction and Ontology Building using Wikipedia: A Comprehensive Survey

Nora I. Al- Rajebah, Hend S. Al- Khalifa
2010 International Journal of Computer Applications  
Wikipedia is considered as one of the important knowledge sources that have been used to extract semantic relations due to its characteristics as a semi-structured knowledge source that would facilitate  ...  In this paper we will focus on the current state of this challenging field by discussing some of the recent studies about Wikipedia and semantic extraction and highlighting their main contributions and  ...  De Silva and Jayaratne [22] introduced WikiOnto which extract and model ontology from Wikipedia XML corpus using Natural Language Processing (NLP) and machine learning techniques.  ... 
doi:10.5120/1661-2236 fatcat:54cgxwxatnawdbtp2reynusqo4

Intelligent Web Based Task Completion Using Pattern Recognition Techniques

Chetan Bansal, Adwait Gandhe
2012 International Journal of Machine Learning and Computing  
Pattern recognition techniques have been used for data extraction from the surroundings and cascaded with data mining algorithms that fetch the relevant information from the web.  ...  Various techniques are used for intelligent extraction of information from the surroundings and developing effective interfaces for obtaining the same.  ...  We related brands with the keywords by extracting information from Wikipedia.  ... 
doi:10.7763/ijmlc.2012.v2.248 fatcat:sjtqtx6eefd5jdddprq73mvsyq

Loose Method for Pattern Classification in Wikipedia using Duality Theorem for Knowledge Acquisition in Neigbouring Words

Enikuomehin Toyin, Akerele Olubunmi
2015 International Journal of Computer Applications  
Knowledge mapped from WordNet are assigned to corresponding patterns in Wikipedia such that the syse structure are automatically acquired for related patterns and then used for knowledge generation, achievable  ...  In this paper, we present an approach for structural classification of taxonomies for knowledge acquisition from Wikipedia using standard loose frameworks.  ...  The terms together with the semantic pattern make up the required knowledge from Wikipedia. Further research is required in the area of evaluation framework.  ... 
doi:10.5120/21670-4751 fatcat:lvtlytotunek3do4jj6gjwiylu

Survey of Hyponym Relation Extraction from Hyperlinks using Motif Patterns with Feature Combination Extraction Model

G. Keerthiga
2019 International Journal for Research in Applied Science and Engineering Technology  
Hence, a novel hyponym relation extraction approach based on the network motifs of Wikipedia hyperlinks was proposed.  ...  As instances are already extracted from textual corpus and annotated by concepts in KGs, graph-based IC is proposed to compute IC based on the distributions of concepts over instances.  ...  The application can be used to extract motif patterns from any knowledge based articles web site.  ... 
doi:10.22214/ijraset.2019.5219 fatcat:scv6fx7gfrfhzolkksqwkst3uq

Self-Supervised Chinese Ontology Learning from Online Encyclopedias

Fanghuai Hu, Zhiqing Shao, Tong Ruan
2014 The Scientific World Journal  
generated from the structural information of encyclopedias and a few general heuristic rules.  ...  First, we proof that the self-supervised machine learning method is practicable in Chinese relation extraction (at least for synonymy and hyponymy) statistically and experimentally and train some self-supervised  ...  We first mapping the structured data such as InfoBox modules and redirection pages into ontological information, and then using some machine learning based methods to extract more latent relations from  ... 
doi:10.1155/2014/848631 pmid:24715819 pmcid:PMC3970055 fatcat:txupyq5yeveb5lrhbmyjq4gxxu

Combining syntactic patterns and Wikipedia's hierarchy of hyperlinks to extract meronym relations

Debela Tesfaye Gemechu, Michael Zock, Solomon Teferra
2016 Proceedings of the NAACL Student Research Workshop  
patterns with the semantic information extracted from the Wikipedia hyperlink hierarchy (WHH) of the constituent words.  ...  We present here two methods for extraction o, meronymic relation : (a) the first one relies solely on syntactic information.  ...  The features learned from the Wikipedia hyperlink-hierarchy further cleaned the word pairs extracted by LSPs.  ... 
doi:10.18653/v1/n16-2005 dblp:conf/naacl/GemechuZA16 fatcat:z4gnprbs6fb5xoe7g25gz2lu4y

A Self-Supervised Approach for Extraction of Attribute-Value Pairs from Wikipedia Articles [chapter]

Wladmir C. Brandão, Edleno S. Moura, Altigran S. Silva, Nivio Ziviani
2010 Lecture Notes in Computer Science  
Researchers have been extracting entities, relationships and attribute-value pairs from Wikipedia and using them in information retrieval tasks.  ...  Wikipedia is the largest encyclopedia on the web and has been widely used as a reliable source of information.  ...  Extracting Attribute-Value Pairs from Wikipedia Wave uses the content of Wikipedia articles to learn how to extract attributevalue pairs from it, building extraction models to perform the extraction.  ... 
doi:10.1007/978-3-642-16321-0_29 fatcat:dto5tftuandsdkybrvts5guvt4

Using Wikipedia to bootstrap open information extraction

Daniel S. Weld, Raphael Hoffmann, Fei Wu
2009 SIGMOD record  
Extraction results from the Web are later combined with extraction results from Wikipedia.  ...  This paper describes Kylin, which uses self-supervised learning to train relationally-targeted extractors from Wikipedia infoboxes.  ... 
doi:10.1145/1519103.1519113 fatcat:uxumqhkhq5agzgcv6bevrpyvqa

IExM

Peng-Yu Chen, Yi-Hui Lee, Yueh-Han Wu, Wei-Yun Ma
2017 Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion  
from a limited set of seed instances, and extracts new instances using high-ranking pattern in a precise and effective way.  ...  In this demonstration, we present Information Extraction System for Movies(IExM), which helps extract relation instances from unlabeled movie articles.  ...  RELATED WORK At least four learning paradigms of information extraction have been presented for the task of extracting relation from text.  ... 
doi:10.1145/3041021.3054729 dblp:conf/www/ChenLWM17 fatcat:r6rwmemttvchbgzwcqo4tgyiw4

DFT-extractor

Bifan Wei, Jun Liu, Jian Ma, Qinghua Zheng, Wei Zhang, Boqin Feng
2013 Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion  
Extracting faceted taxonomies from the Web has received increasing attention in recent years from the web mining community.  ...  We demonstrate in this study a novel system called DFT-Extractor, which automatically constructs domain-specific faceted taxonomies from Wikipedia in three steps: 1) It crawls domain terms from Wikipedia  ...  Hyponym Relation Extraction Module II extracts hyponym relations from the Wikipedia article graph with the use of motif-based features.  ... 
doi:10.1145/2487788.2487922 dblp:conf/www/WeiLMZZF13 fatcat:rgmfet4qtrgvfms7ay66t4idii

Language-Agnostic Relation Extraction from Abstracts in Wikis

Nicolas Heist, Sven Hertling, Heiko Paulheim
2018 Information  
We demonstrate the extraction of relations from Wikipedia abstracts, using the twelve largest language editions of Wikipedia.  ...  techniques and builds machine learning models only from language-independent features.  ...  information from Wikipedia.  ... 
doi:10.3390/info9040075 fatcat:juilvyj47bgclpax63dv4wimw4
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