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Automatic affiliation extraction from calls-for-papers
2013
Proceedings of the 2013 workshop on Automated knowledge base construction - AKBC '13
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In this paper, we describe a system to collect information about academic affiliation (organisations where researchers work) from Calls-for-Papers for academic conferences. ...
This forms part of a larger project to automatically populate and maintain a range of data related to academic research. ...
This paper presents a multi-phase method which attempts to automatically extract information about researchers and their affiliation from CFP documents and place it in a relational database. ...
doi:10.1145/2509558.2509575
dblp:conf/cikm/LiRSP13
fatcat:bc633avcffh3tjmnfpebvhrjvi
Automatic Construction of a Semantic Knowledge Base from CEUR Workshop Proceedings
[chapter]
2015
Communications in Computer and Information Science
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The goal of Task 2 is to extract various information from full-text papers to represent the context in which a document is written, such as the affiliation of its authors and the corresponding funding ...
We present an automatic workflow that performs text segmentation and entity extraction from scientific literature to primarily address Task 2 of the Semantic Publishing Challenge 2015. ...
The challenge is to automatically extract authors, affiliations, cited works, funding bodies and mentioned ontology names from the text and populate a knowledge base, in which all the detected entities ...
doi:10.1007/978-3-319-25518-7_11
fatcat:sjrbad3zbbedjlvvnaxgyffad4
An Automatic Workflow for the Formalization of Scholarly Articles' Structural and Semantic Elements
[chapter]
2016
Communications in Computer and Information Science
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In this year's task, we aim to extract various contextual information from full-text papers using a text mining pipeline that integrates LOD-based Named Entity Recognition (NER) and triplification of the ...
We present a workflow for the automatic transformation of scholarly literature to a Linked Open Data (LOD) compliant knowledge base to address Task 2 of the Semantic Publishing Challenge 2016. ...
In this paper, we provided the details of our automatic workflow for the extraction of contextual information from full-text of computer science articles to address Task 2 of the Semantic Publishing Challenge ...
doi:10.1007/978-3-319-46565-4_24
fatcat:lpdzqkxd7vg25m7zjwutm7ob7u
Extracting hierarchies with overlapping structure from network data
2011
Proceedings of the 2011 Winter Simulation Conference (WSC)
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We propose a new method for modeling hierarchies through extracting the affiliations of the network. From these affiliations, we construct a lattice of the relationships between nodes. ...
Understanding these inherent hierarchies is essential for creating models of these systems. Thus, there is a recent body of research concerning the extraction of hierarchies from networks. ...
Because of the importance of understanding the hierarchical structure of the network, several approaches have been proposed to automatically extract hierarchical models from networks. ...
doi:10.1109/wsc.2011.6148029
dblp:conf/wsc/Cloteaux11
fatcat:qoec4wtm55gangjul4kgxq3kki
Incremental Ontology-Based Extraction and Alignment in Semi-structured Documents
[chapter]
2009
Lecture Notes in Computer Science
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We experiment it on a HTML corpus related to call for papers in computer science and the results that we obtain are very promising. ...
It relies on an automatic, unsupervised and ontology-driven approach for extraction, alignment and semantic annotation of tagged elements of documents. ...
Validation of Extract-Align Algorithm Let O be the domain ontology of Call for Papers for Computer Science Conferences. ...
doi:10.1007/978-3-642-03573-9_51
fatcat:nlqoadzokrf6pduzmxbxngczqi
Analysing features of Japanese splogs and characteristics of keywords
2008
Proceedings of the 4th international workshop on Adversarial information retrieval on the web - AIRWeb '08
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links to affiliated sites. ...
We manually examine various features of collected blog homepages regarding whether their text content is excerpt from other sources or not, as well as whether they display affiliate advertisement or out-going ...
The system uses several linguistic tools for extracting and indexing keywords from blog articles for each language. For Japanese, it uses a morphological analysis tool called Juman 12 . ...
doi:10.1145/1451983.1451993
dblp:conf/airweb/SatoUMFNKK08
fatcat:gih3km36wbaevh7wa6pgicgfi4
Assigning Keywords to Automatically Extracted Personal Cliques from Social Networks
2015
Journal of Information Processing
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Our proposed method improves clique annotation by not only extracting keywords from the tweet history of the clique members, but individually weighting the extracted keywords of each member according to ...
for the cliques as opposed to 38.31% for the baseline method. ...
Conclusion In this paper, we proposed a method for automatically extracting and annotating personal cliques from social networks to help users of microblogging services such as Twitter understand the structure ...
doi:10.2197/ipsjjip.23.327
fatcat:swufnxyun5hmvcqzr6l54e7bma
MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence
[article]
2021
arXiv
pre-print
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This paper introduces a novel framework for joint analysis of AI-related policy documents and eXplainable Artificial Intelligence (XAI) research papers. ...
Based on the information extracted from collected documents, we showcase a series of analyses that help understand interactions, similarities, and differences between documents at different stages of institutionalization ...
Stanisławek, and Krzysztof Kowalczyk for providing feedback on an early version of this paper. ...
arXiv:2108.06216v1
fatcat:ioebirdirrftfgcknkmfm7oobe
Automated data entry system: performance issues
2001
Document Recognition and Retrieval IX
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This paper discusses the performance of a system for extracting bibliographic fields from scanned pages in biomedical journals to populate MEDLINE®, the flagship database of the National Library of Medicine ...
This system consists of automated processes to extract the article title, author names, affiliations and abstract, and manual workstations for the entry of other required fields such as pagination, grant ...
In this figure, we show entries for those fields that are automatically extracted in 'compliant' journals (for which we have generated rules from layout analysis for our automated modules), because we ...
doi:10.1117/12.450734
dblp:conf/drr/ThomaF02
fatcat:kaxjobb4xrbxjgusuymr4hfijm
Extracting Objects from the Web
2006
22nd International Conference on Data Engineering (ICDE'06)
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Extracting and integrating object information from the Web is of great significance for Web data management. ...
In this paper, we propose a novel approach called Object-Level Information Extraction (OLIE) to extract Web objects. ...
Introduction This paper studies how to automatically extract object information from the Web. ...
doi:10.1109/icde.2006.69
dblp:conf/icde/NieWWM06
fatcat:6radmopf2jdpxh5qum2oybqmsy
Kairos: Proactive Harvesting of Research Paper Metadata from Scientific Conference Web Sites
[chapter]
2010
Lecture Notes in Computer Science
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We investigate the automatic harvesting of research paper metadata from recent scholarly events. ...
Using event date metadata extracted from the conference website, Kairos proactively harvests metadata about the individual papers soon after they are made public. ...
For example, given a conference that issues its first call-for-papers, Kairos' crawling component will attempt to locate the correct site for the conference and extract the key dates for its deadlines ...
doi:10.1007/978-3-642-13654-2_28
fatcat:enxacsiy3rfvbfzg65hab42uza
Extracting Author Meta-Data from Web Using Visual Features
2007
Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007)
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This paper addresses the problem of extracting authors' information from their homepages. This problem is actually a multiclass classification problem. ...
., Name, Title, Affiliation, Email, etc. ...
That is what we call inter-field probability model in this paper. ...
doi:10.1109/icdmw.2007.59
dblp:conf/icdm/ZhengZLG07
fatcat:izilddxwinefdmvizrykrdzz4m
POLYPHONET
2006
Proceedings of the 15th international conference on World Wide Web - WWW '06
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We propose a social network extraction system called POLY-PHONET, which employs several advanced techniques to extract relations of persons, detect groups of persons, and obtain keywords for a person. ...
Several studies have used search engines to extract social networks from the Web, but our research advances the following points: First, we reduce the related methods into simple pseudocodes using Google ...
This paper presents advanced algorithms for social network extraction from the Web. ...
doi:10.1145/1135777.1135837
dblp:conf/www/MatsuoMHINTHI06
fatcat:c2g6pzbzfzdbfm63oy25bwpca4
Multi-level mining and visualization of scientific text collections
2017
Proceedings of the 6th International Workshop on Mining Scientific Publications - WOSP 2017
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We present a system to mine and visualize collections of scientific documents by semantically browsing information extracted from single publications or aggregated throughout corpora of articles. ...
In addition to the extraction and enrichment of documents with metadata (titles, authors, affiliations, etc), the deep analysis performed comprises semantic interpretation, rhetorical analysis of sentences ...
as the result of an automatic tuple extraction process. ...
doi:10.1145/3127526.3127529
dblp:conf/jcdl/AccuostoRFS17
fatcat:u7e5niope5conmovgpjxslk3im
Academic linkage: A linkage platform for large volumes of academic information
2009
Progress in Informatics
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We propose a two-layered architecture for information identification that is specifically targeted towards academic information. ...
Kitsuregawa for his constant, valuable comments and discussion, to the members participating in the NLP/IR explosion, to Prof. Keizo Oyama and Asst. Prof. Masashi Inoue of NII. ...
Through this process, we were able to automatically increase the original total of 1,216 papers to 17,011 papers. ...
doi:10.2201/niipi.2009.6.5
fatcat:b7qno6z43bcr7ghpgpofabsbo4
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