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Modeling Unified Semantic Discourse Structure for High-quality Headline Generation
[article]
2024
arXiv
pre-print
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In this work, We propose using a unified semantic discourse structure (S3) to represent document semantics, achieved by combining document-level rhetorical structure theory (RST) trees with sentence-level ...
Headline generation aims to summarize a long document with a short, catchy title that reflects the main idea. ...
Actually, documents come with hierarchical structures in two granularities, i.e., document level and sentence level. ...
arXiv:2403.15776v1
fatcat:ie22mypihfcchkd44gz6xdkcni
Learning domain ontologies for semantic Web service descriptions
2005
Journal of Web Semantics
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To this end, we developed a framework for (semi-)automatic ontology learning from textual sources attached to Web services. ...
The framework exploits the fact that these sources are expressed in a specific sublanguage, making them amenable to automatic analysis. ...
A second impediment is the dynamic nature of the field. ...
doi:10.1016/j.websem.2005.09.008
fatcat:vieeqt3wirg3feoe23vu5ndfda
Learning Domain Ontologies for Semantic Web Service Descriptions
2005
Social Science Research Network
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To this end, we developed a framework for (semi-)automatic ontology learning from textual sources attached to Web services. ...
The framework exploits the fact that these sources are expressed in a specific sublanguage, making them amenable to automatic analysis. ...
A second impediment is the dynamic nature of the field. ...
doi:10.2139/ssrn.3199264
fatcat:6eamwvic3rce3dvfxh24s3sja4
Efficient and effective retrieval using selective pruning
2013
Proceedings of the sixth ACM international conference on Web search and data mining - WSDM '13
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Retrieval can be made more efficient by deploying dynamic pruning strategies such as Wand, which do not degrade effectiveness up to a given rank. ...
In this work, we propose a novel selective framework that determines the appropriate amount of pruning aggressiveness on a per-query basis, thereby increasing overall efficiency without significantly reducing ...
, we propose a selective pruning framework for identifying the appropriate pruning setting of a dynamic pruning strategy on a per-query basis, to ensure efficient yet effective retrieval. ...
doi:10.1145/2433396.2433407
dblp:conf/wsdm/TonellottoMO13
fatcat:nv2qvk3ihng4hltyqbei2i4jsi
Hidden Web Indexing Using HDDI Framework
2012
IOSR Journal of Engineering
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This research uses Hierarchical Distributed Dynamic Indexing (HDDI) Framework for indexing the Data downloaded by the Siphone++ crawler. ...
There are various methods of indexing the hidden web database like novel indexing, distributed indexing or indexing using map reduce framework. ...
A related research initiative involves the design of a multimedia framework for constructive, inquiry-based learning for introductory and upper level computer science courses. ...
doi:10.9790/3021-0204858861
fatcat:lob7urrkubcwleyigplsbwfei4
Applying Dynamic Causal Mining in Retailing
2008
POLIBITS Research Journal on Computer Science and Computer Engineering With Applications
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With the fast development of information technology, retailers are suffering from the excess of information. Too much information can be a problem. However, more information creates more opportunity. ...
The Semantic Web will provide a foundation for such a solution. However, semantics only provide a way of mapping the content of a web to user defined annotations. ...
The number of rules has decreased by applying the support level. Table 2 shows the extracted strong rules with support level equal to average value and support larger than 0.08. ...
doi:10.17562/pb-37-7
fatcat:ytokixu4uvfgfa64yerpfsdx7y
Automated learning of domain taxonomies from text using background knowledge
2016
Journal of Biomedical Informatics
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We introduce a novel, unsupervised method for cluster detection based on automated dendrogram pruning, which is dynamic to each partition. ...
The results of several experiments indicate that our method is superior to existing dynamic pruning and the state-of-art taxonomy learning methods. ...
Pruning Performance- The results of the evaluation of dendrogram pruning performance and its comparison with two state-of-the-art dynamic tree cut techniques (dynamic tree and dynamic hybrid [38] ) are ...
doi:10.1016/j.jbi.2016.09.002
pmid:27597572
pmcid:PMC5077645
fatcat:dvgq7xaj4jblfk6whca2ns3gzy
Semantic data mining: A survey of ontology-based approaches
2015
Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)
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Ontology is an explicit specification of conceptualization and a formal way to define the semantics of knowledge and data. ...
The formal structure of ontology makes it a nature way to encode domain knowledge for the data mining use. In this survey paper, we introduce general concepts of semantic data mining. ...
Specifically, in ontology-based information extraction (OBIE) [55] , [77] , the extracted information are a set of annotated terms from the document with the relations defined in the ontology. ...
doi:10.1109/icosc.2015.7050814
dblp:conf/semco/DouWL15
fatcat:uck4bd3gpnf5bgb4jike6xm5ne
HDDI™: Hierarchical Distributed Dynamic Indexing
[chapter]
2001
Data Mining for Scientific and Engineering Applications
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Hierarchical Distributed Dynamic Indexing (HDDI) is an approach that dynamically creates a hierarchical index from distributed document collections. ...
We conclude with several example applications of HDDI in the textual data mining and information retrieval fields. ...
We also gratefully acknowledge the assistance of the many who worked together with us at the National Center for Supercomputing Applications and at Lehigh University to make this a reality. ...
doi:10.1007/978-1-4615-1733-7_18
fatcat:jc4omkimvrgvroatlbeyg35eyu
From keywords to keyqueries
2013
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13
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To determine the keyqueries for a document, we present an exhaustive search algorithm along with effective pruning strategies. ...
We introduce the concept of keyqueries as dynamic content descriptors for documents. ...
We conclude with an outlook on future work.
RELATED WORK The state-of-the-art technique for the automated generation of content descriptors is keyword or keyphrase extraction. ...
doi:10.1145/2484028.2484181
dblp:conf/sigir/GollubHMS13
fatcat:4kefpe37brcwdnd7trktwjdg54
Ranking objects based on relationships and fixed associations
2009
Proceedings of the 12th International Conference on Extending Database Technology Advances in Database Technology - EDBT '09
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Text corpora are often enhanced by additional metadata which relate real-world entities, with each document in which such entities are discussed. ...
We devise early pruning and termination strategies, in the presence of joins and aggregations (executed on entities extracted from text), that do not depend on any estimates. ...
related to these documents using M T (In-memory join of document ids with M T ) 3: for each entity e found, whose related document's score is s do 4: if an entry for e exists in SeenEnt T , with NumSeen ...
doi:10.1145/1516360.1516464
dblp:conf/edbt/AngelCDK09
fatcat:psaqn62o65fmnliptptbb72dkq
SES-based ontological process for high level information fusion
2010
Proceedings of the 2010 Spring Simulation Multiconference on - SpringSim '10
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Pruning and transformation processes of the SES ontology generate various levels of information in accordance with C2 systems' needs, which support decision-making process in an automated way. ...
The System Entity Structure (SES) is an ontology framework that can facilitate information exchange and represent knowledge in a network-centric environment. ...
It is, therefore, a study about Level 2 and for partially related with Level 3 based on results of Level 1 for high-level fusion process [4] . ...
doi:10.1145/1878537.1878672
fatcat:agaad6eisbcdfgw3oojw547cd4
Discovering topic structures of a temporally evolving document corpus
[article]
2015
arXiv
pre-print
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In this paper we describe a novel framework for the discovery of the topical content of a data corpus, and the tracking of its complex structural changes across the temporal dimension. ...
Our key technical contribution is a framework based on (i) discretization of time into epochs, (ii) epoch-wise topic discovery using a hierarchical Dirichlet process-based model, and (iii) a temporal similarity ...
The recently proposed latent Dirichlet allocation (LDA) method [15] overcomes the overfitting problem by adopting a Bayesian framework and a generative process at the document level. ...
arXiv:1512.08008v1
fatcat:ir2u5bukjfbyph5vclraxjuzry
Mining Generalized Associations of Semantic Relations from Textual Web Content
2007
IEEE Transactions on Knowledge and Data Engineering
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First, RDF (Resource Description Framework) metadata representing semantic relations are extracted from raw text using a myriad of natural language processing techniques. ...
The relation extraction process also creates a term taxonomy in the form of a sense hierarchy inferred from WordNet. ...
We apply semantic relation extraction to extract semantic relations from the ICT suicide bombing (ICT-SB) documents and the ICT car bombing (ICT-CB) documents with a WordNet search depth (WNSD) of 2 and ...
doi:10.1109/tkde.2007.36
fatcat:jkxp3oiotbe2vmmegagu7ekpuu
CITOM: An incremental construction of multilingual topic maps
2012
Data & Knowledge Engineering
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We validate our approach with a real corpus from the sustainable construction domain. ...
Our approach takes into account three types of information sources: (a) a set of multilingual documents, (b) a domain thesaurus and (c) all the possible questioning sources such as FAQ and user's or expert's ...
of questions related to the document and extracted from the questioning sources. ...
doi:10.1016/j.datak.2012.02.002
fatcat:hbmwnay73vaxpltxazbyp2rf2m
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