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Collective Information Extraction with Context-Specific Consistencies [chapter]

Peter Kluegl, Martin Toepfer, Florian Lemmerich, Andreas Hotho, Frank Puppe
2012 Lecture Notes in Computer Science  
We present two collective information extraction approaches based on CRFs for exploiting these context-specific consistencies.  ...  Conditional Random Fields (CRFs) have been widely used for information extraction from free texts as well as from semi-structured documents.  ...  -Collective IE with respect to structured texts. -Collective IE with context-specific consistencies. -Improved IE models in general, evaluated for the segmentation of references.  ... 
doi:10.1007/978-3-642-33460-3_52 fatcat:kcbmmyhyazcoflisotwbnzah7i

Context based Indexing in Search Engines using Ontology

Parul Gupta, Dr. A.K. Sharma
2010 International Journal of Computer Applications  
The context of the documents being collected by the crawler in the repository is being extracted by the indexer using the context repository, thesaurus and ontology repository and then documents are indexed  ...  The ontology-based collection selection method presented in this paper uses context to describe collections and search engines.  ...  contain the term with that specific context. 8.  ... 
doi:10.5120/302-468 fatcat:l5ng6tzpnbepfo266csbh7fjha

A Pragmatic Approach To Significant Environment Information Collection To Support Object Reuse

Fabio Corubolo, Anna Grit Eggers, Mark Hedges, Simon Waddington, Adil Hasan, Jens Ludwig
2014 Zenodo  
This paper introduces the concept of Significant Environment Information (SEI), which takes into account the dependencies of the digital object on external information for specific purposes and significance  ...  The paper also introduces the PERICLES Extraction Tool (PET), an open source (Apache 2 licensed) Java software for the extraction of significant information from the environment where digital objects are  ...  used during the execution of the SBA) that can be collected by the PET tool with a specific extraction profile.  ... 
doi:10.5281/zenodo.344024 fatcat:vzggiwdk2jcjvdhlyrqqgnpgmq

Semantic Information Retrival for Scientific Experimental Papers with Knowlege based Feature Extraction

Nur Rosyid Mubatada'i, Ali Ridho Barakbah, Afrida Helen
2019 INOVTEK Polbeng - Seri Informatika  
This system consists of 4 main functions: (1) Specific content-based feature extraction, (2) Classification model, (3) Context-based subspace selection, and (4) Context-dependent similarity measurement  ...  In feature extraction, our system extracts feature category in experimental scientific papers with specific content-based features, which are data, problem, method and result.  ...  This system consists of 4 main functions: (1) Specific content-based feature extraction, (2) Classification model, (3) Selection of context-based subspaces, and (4) Measurement of similarities depending  ... 
doi:10.35314/isi.v4i1.885 fatcat:cxj2doxd5vaoddmxk5j53nmkhm

Data quality and fitness for purpose of routinely collected data--a general practice case study from an electronic practice-based research network (ePBRN)

Siaw-Teng Liaw, Jane Taggart, Sarah Dennis, Anthony Yeo
2011 AMIA Annual Symposium Proceedings  
However, are the routinely collected data of ePBRNs fit for the abovementioned purposes?  ...  The mining of clinical information systems of PBRNs can be used to monitor performance at the service unit level.  ...  While consistent with studies that regularly report a range of deficiencies in using routinely collected electronic information for clinical (28) (29) (30) (31) , health promotion (32) or research purposes  ... 
pmid:22195136 pmcid:PMC3243124 fatcat:mrhyhnymtrg7xfudwihwoiid6y

DocOIE: A Document-level Context-Aware Dataset for OpenIE [article]

Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li
2021 arXiv   pre-print
Open Information Extraction (OpenIE) aims to extract structured relational tuples (subject, relation, object) from sentences and plays critical roles for many downstream NLP applications.  ...  Existing solutions perform extraction at sentence level, without referring to any additional contextual information.  ...  DocOIE Dataset We now present our Document-level context-aware Open Information Extraction (DocOIE) dataset.  ... 
arXiv:2105.04271v2 fatcat:d7mxjmos75drpikzqkpsqea2bi

Collaborative information synthesis I: A model of information behaviors of scientists in medicine and public health

Catherine Blake, Wanda Pratt
2006 Journal of the American Society for Information Science and Technology  
Our findings suggest that scientists provide two information constructs: a hypothesis projection and context information.  ...  The CIS model emerges from a rich collection of qualitative data including interviews, electronic recordings of meetings, meeting minutes, e-mail communications, and extraction worksheets.  ...  Context Information The medical group drew on four resources to identify specific information items that they should extract.  ... 
doi:10.1002/asi.20487 fatcat:6rwsuczbrzg2tijk4mrajlkhcq

Contextual factors in maternal and newborn health evaluation: a protocol applied in Nigeria, India and Ethiopia

Kate Sabot, Tanya Marchant, Neil Spicer, Della Berhanu, Meenakshi Gautham, Nasir Umar, Joanna Schellenberg
2018 Emerging Themes in Epidemiology  
Methods include desk reviews, secondary data extraction and key informant interviews.  ...  Discussion: Applying this approach was more resource intensive than expected, in part because routinely available information was not consistently available across settings and more primary data collection  ...  Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ... 
doi:10.1186/s12982-018-0071-0 pmid:29441117 pmcid:PMC5800046 fatcat:j64xd34xq5ffhepinvzrwg2p3q

Incremental extraction of domain-specific terms from online text resources [chapter]

Lee-Feng Chien, Chun-Liang Chen
2001 Recent Advances in Computational Terminology  
Incremental extraction of domain-specific terms from online text resources is necessary in many information retrieval (IR) and natural language processing (NLP) applications.  ...  The purpose of this paper is to present an efficient approach which can classify online text collections from the Internet dynamically and extract domain-specific terms incrementally.  ...  The approach is based on a live dictionary with online information systems on the Internet, in which most of the domain-specific terms can be incrementally extracted and adapted with changes in text collections  ... 
doi:10.1075/nlp.2.05chi fatcat:i7yxgd5ozzcl3i6u2e2yfahzp4

The Effects of OCR Error on the Extraction of Private Information [chapter]

Kazem Taghva, Russell Beckley, Jeffrey Coombs
2006 Lecture Notes in Computer Science  
We experimented with information extraction software on two collections, one with OCR-ed documents and another with manuallycorrected versions of the former.  ...  Recent studies however have indicated that information extraction is significantly degraded by OCR error.  ...  For example, spelling correction algorithms enhanced with general and collection-specific lexicons have been shown to improve OCR-accuracy [9, 15] .  ... 
doi:10.1007/11669487_31 fatcat:xt4pnt4jsjgufkezbo7z4gmzmu

Generating gene summaries from biomedical literature: A study of semi-structured summarization

Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, Chengxiang Zhai, Bruce Schatz
2007 Information Processing & Management  
Among all the proposed methods for sentence extraction, a probabilistic language modeling approach that models gene context performs the best.  ...  covering specific semantic aspects of a gene.  ...  Our goal is to extract the language models associated with the aspect contexts but not the gene contexts.  ... 
doi:10.1016/j.ipm.2007.01.018 fatcat:kusyzyzdkzbxjjblnksgznyyou

Contextualized Question Answering

Luka Bradesko, Lorand Dali, Blaz Fortuna, Marko Grobelnik, Dunja Mladenic, Inna Novalija, Bostjan Pajntar
2010 Journal of Computing and Information Technology  
The answers are provided based on a domain specific document collection of choice.  ...  Every module uses state of the art technologies that are shown to work in a complex pipeline to make available question answering on top of a given document repository with the context of ontologies, such  ...  However, most of them only retrieve documents (or snippets) which match the search query best, without a specific answer or any information related to the context.  ... 
doi:10.2498/cit.1001912 fatcat:lpcrdakkhbcxfgwn5zefxudxse

Patterns to analyze requirements of a Decisional Information System [article]

Sabri Aziza, Kjiri Laila
2013 arXiv   pre-print
The domain of analysis and conception of Decisional Information System (DIS) is, highly, applying new techniques and methods to succeed the process of the decision and minimizing the time of conception  ...  We seek, through this work, to guide the discovery of an organizations business requirements, expressed as goals by introducing the notion of context, to promote good processes design for a DIS, to capitalize  ...  associated with each context for a specific activity.  ... 
arXiv:1304.5389v1 fatcat:fmpz6h2upjgodkecun7q7jqtwm

Rhetorical Classification of Anchor Text for Citation Recommendation

Daniel Duma, Maria Liakata, Amanda Clare, James Ravenscroft, Ewan Klein
2016 D-Lib Magazine  
By annotating each sentence in every document with CoreSC and indexing them separately by sentence class, we aim to build a more useful vector-space representation of documents in our collection.  ...  We specifically apply this to anchor text, that is, the text surrounding a citation, which is an important source of data for building document representations.  ...  The task consists in recommending relevant papers to be cited at a specific point in a draft scientific paper, and is universally framed as an information retrieval scenario.  ... 
doi:10.1045/september2016-duma fatcat:zwccddmac5c57kkbimer4jmify

Lexical navigation

James W. Cooper, Roy J. Byrd
1997 Proceedings of the second ACM international conference on Digital libraries - DL '97  
Lexical nehvorks containing domain-specific vocabularies and relationships are automatically extracted from the collection and play an important role in this navigation process.  ...  The Lexical Navigation methodology constitutes a powerful set of tools for searching large text collections.  ...  A central role in our approach is played by collection-specific vocabularies which are used as the source of the query terms with which users are prompted.  ... 
doi:10.1145/263690.263828 dblp:conf/dl/CooperB97 fatcat:m2b2ijd7wvbinck3o37h5slrcm
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