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Combining relations for information extraction from free text

Mstislav Maslennikov, Tat-Seng Chua
2010 ACM Transactions on Information Systems  
Therefore, combining relations is the key to effective information extraction (IE) on free text datasets with a small set of training samples.  ...  Relations between entities of the same semantic type tend to be sparse in free texts.  ...  INTRODUCTION This article tackles the relation-related information extraction (IE) from free text. We consider several variations of this task, such as extracting 14:2 • M. Maslennikov and T.-S.  ... 
doi:10.1145/1777432.1777437 fatcat:quhwjf3mkbe2vev2era6x3qeuu

Current Development and Technology in the Information Extraction for Clinical Narrative Text

Yan Ge
2015 International Journal of Computer Science and Application  
In this paper, we review recent published researches on the implication and technology of information extraction from free-text clinical narratives.  ...  The information extractions from clinical narrative text are more complicated than those from other biomedical texts, such as books, articles, literature abstracts, and so on.  ...  Bansal for his valuable discussions and support.  ... 
doi:10.12783/ijcsa.2015.0402.01 fatcat:4cch3i72jjbo5hvnbbssvwnnpi

Comparing manual and automated extraction of chemical entities from documents

Christian Tyrchan, Sorel Muresan
2010 Journal of Cheminformatics  
The chemical information and corresponding annotations are subsequently stored in relational databases allowing for complex chemical and text queries.  ...  Extracting chemical entities from unstructured text is a complex task and different approaches are currently used including manual extraction by expert curators, text mining supported by chemical NER or  ...  These initial results demonstrate the benefits and challenges of text mining for chemical information extraction from unstructured text.  ... 
doi:10.1186/1758-2946-2-s1-p7 pmcid:PMC2867192 fatcat:2gajq4sur5dhvlopqkjvryfaqm

An intelligent integrated querying system for free-form information extraction from veterinary clinical records

Ploy Tangtulyangkul, Chun Che Fung
2009 2009 International Conference on Machine Learning and Cybernetics  
The proposed solution in this paper involves text-mining (keyword extraction) and web service technologies for enhancing the existing results and to provide a comprehensive set of information related to  ...  The information from the local records is used to remotely retrieve related information from external sources, in order to supplement the existing records for diagnosis and decision purposes.  ...  Acknowledgements The authors would like to acknowledge Professor John Edwards and Associate Professor Ian Robertson, from the School of Veterinary and Biomedical Sciences, Murdoch University for their  ... 
doi:10.1109/icmlc.2009.5212715 fatcat:uokt64rb4ncjtbwkvxzuhdx5da

Intelligent Multimedia Indexing and Retrieval through Multi-source Information Extraction and Merging

Jan Kuper, Horacio Saggion, Hamish Cunningham, Thierry Declerck, Franciska de Jong, Dennis Reidsma, Yorick Wilks, Peter Wittenburg
2003 International Joint Conference on Artificial Intelligence  
The novelty of the work is to exploit multiple sources of information relating to video content (in this case the rich range of sources covering important sports events).  ...  This paper reports work on automated meta-data creation for multimedia content.  ...  Acknowledgements We wish to thank Eduard Hoenkamp and Marco Puts for many useful discussions.  ... 
dblp:conf/ijcai/KuperSCDJRWW03 fatcat:dnd2efqbgvhzpejw4uzrphn7na

MIETTA --- a framework for uniform and multilingual access to structured database and Web information

Feiyu Xu, Klaus Netter, Holger Stenzhorn
2000 Proceedings of the fifth international workshop on on Information retrieval with Asian languages - IRAL '00  
The combination of information extraction and multilingual generation enables on the one hand, multilingual presentation of the database content, and on the other hand, free text crosslingual information  ...  The framework integrates a crosslingual retrieval strategy with a strategy using natural language techniques: information extraction and multilingual generation.  ...  Free text queries, formbased queries and their combination can yield documents and structured database information.  ... 
doi:10.1145/355214.355220 dblp:conf/iral/XuNS00 fatcat:uy2siqnrarde7jnib3ry7oe6dy

Text mining in life sciences [chapter]

J. Fluck, H. Deneke, C. Gieger
2005 Text Mining and its Applications to Intelligence, CRM and Knowledge Management  
Text mining provides the methods to automatically retrieve and extract information contained in free text.  ...  In addition, we realize an increasing demand to combine information from different resources and across different disciplines in life sciences.  ...  It provides the tools to quickly extract relevant knowledge from large corpora of free text.  ... 
doi:10.2495/978-1-85312-995-7/17 fatcat:l55iiv3op5hqhpsd5nfz4yxc7y

Opinion Mapping: Information Visualization Approaches for Comparative Sentiment Analysis

William H. Hsu, Praveen Koduru
2012 European Workshop on Human-Computer Interaction and Information Retrieval  
In this position paper, we discuss the problem of extracting information about chronic diseases from the large volume of text written in health blogs, mailing lists, forums, and other electronic venues  ...  For example, in information portals such as, which are searchable by location and disease, the data are user-reported and collaboratively maintained, but not automatically extracted from  ...  users via relational data extracted from their profiles.  ... 
dblp:conf/eurohcir/HsuK12 fatcat:7rvmcb75gzhwlg6jr2nwcjeqbq

Semantic Relation Extraction. Resources, Tools and Strategies [chapter]

Marcos Garcia
2016 Lecture Notes in Computer Science  
Relation extraction is a subtask of information extraction that aims at obtaining instances of semantic relations present in texts.  ...  The work presented in this paper explores different strategies to automate the extraction of semantic relations from texts in Portuguese, Galician and Spanish.  ...  The extraction of structured semantic knowledge from free text is useful both for theoretical purposes (it gives information about how semantic relations are represented linguistically) and from a pragmatic  ... 
doi:10.1007/978-3-319-41552-9_15 fatcat:e7npp3gyvje3nd2fzwmeb36yuq

Visualizing aggregated biological pathway relations

Byron Marshall, Karin Quiñones, Hua Su, Shauna Eggers, Hsinchun Chen
2005 Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries - JCDL '05  
The Genescene development team has constructed an aggregation interface for automatically-extracted biomedical pathway relations that is intended to help researchers identify and process relevant information  ...  Users view extracted relations at various levels of relational granularity in an interactive and visual node-link interface.  ...  This work was supported in part by: NIH/NLM, 1 R33 LM07299-01, 2002-2005, ''Genescene: a Toolkit for Gene Pathway Analysis.''  ... 
doi:10.1145/1065385.1065400 dblp:conf/jcdl/MarshallQSEC05 fatcat:pclvxrhfqjce3mxzsisn5xdqja

Text-mining and information-retrieval services for molecular biology

Martin Krallinger, Alfonso Valencia
2005 Genome Biology  
Text-mining in molecular biology -- defined as the automatic extraction of information about genes, proteins and their functional relationships from text documents -- has emerged as a hybrid discipline  ...  A range of text-mining applications have been developed recently that will improve access to knowledge for biologists and database annotators.  ...  We thank Robert Hoffmann for providing Figure 2 and Christian Blaschke, as well as all the members of the group, for interesting discussions.  ... 
doi:10.1186/gb-2005-6-7-224 pmid:15998455 pmcid:PMC1175978 fatcat:7r2q7lkyybdpxj6j2zsvnwyftm

A Machine Learning Approach to Information Extraction [chapter]

Alberto Téllez-Valero, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda
2005 Lecture Notes in Computer Science  
Information extraction is concerned with applying natural language processing to automatically extract the essential details from text documents.  ...  The paper also shows a system called TOPO that allows to extract the information related with natural disasters from newspaper articles in Spanish language.  ...  Acknowledgements We would like to thank CONACyT for partially supporting these work under grants 171610, 43990A-1 and U39957-Y, and to the Secretaría de Estado de Educación y Universidades de España.  ... 
doi:10.1007/978-3-540-30586-6_58 fatcat:wk3jeslx3jhyjpd66orjmdaj5m

A semantic-based workflow for biomedical literature annotation

Pedro Sernadela, José Luís Oliveira
2017 Database: The Journal of Biological Databases and Curation  
Abstract Computational annotation of textual information has taken on an important role in knowledge extraction from the biomedical literature, since most of the relevant information from scientific findings  ...  is still maintained in text format.  ...  The research leading to these results has received funding from the  ... 
doi:10.1093/database/bax088 pmid:29220478 pmcid:PMC5691355 fatcat:tbt65j3vwfbefhhhpdx6lvapu4

Intelligent information mining from veterinary clinical records and open source repository

Ploy Tangtulyangkul, Timothy S Hocking, Chun Che Fung
2009 TENCON 2009 - 2009 IEEE Region 10 Conference  
It utilizes text-mining, web service technologies and domain knowledge, in order to extract keywords, to retrieve related records from an external source, and to filter the extracted keywords list.  ...  The system retrieves information from a local veterinary clinical database and then complements this information with related records from an external source, OAIster.  ...  ACKNOWLEDGMENT The authors would like to acknowledge Professor John Edwards and Associate Professor Ian Robertson of the School of Veterinary and Biomedical Sciences, Murdoch University for their kind  ... 
doi:10.1109/tencon.2009.5396065 fatcat:6lf7c6uwdzgh3eqdgeh4buypdq

Extracting Surveillance Data from Templated Sections of an Electronic Medical Note: Challenges and Opportunities

Adi Gundlapalli, Guy Divita, Marjorie Carter, Shuying Shen, Miland Palmer, Tyler Forbush, Brett South, Andrew Redd, Brian Sauer, Matthew Samore
2013 Online Journal of Public Health Informatics  
Objective To highlight the importance of templates in extracting surveillance data from the free text of electronic medical records using natural language processing (NLP) techniques.  ...  Acknowledgments Funding from the US Department of Veterans Affairs (HSR&D); resources from Veterans Informatics Computing Infrastructure and VA Salt Lake City Health Care System and all our research team  ...  Acknowledging the presence of templates and refining NLP algorithms to handle them improves information extraction from free text medical notes, thus creating an opportunity for improved surveillance using  ... 
doi:10.5210/ojphi.v5i1.4535 fatcat:36ctt7mmtrbljfderoavsewqim
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