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Web Table Extraction, Retrieval and Augmentation: A Survey
[article]
2020
arXiv
pre-print
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, and table augmentation. ...
In particular, we organize existing literature into six main categories of information access tasks: table extraction, table interpretation, table search, question answering, knowledge base augmentation ...
Web Table Search Table Extraction Table Interpretation Table Augmentation Question Answering
Knowledge Base Augmentation High level applications Low-level tasks [:,j] ), and table entities ...
arXiv:2002.00207v2
fatcat:wss5iylwdbh5ziso4fjr4n6zfe
Discovering semantic biomedical relations utilizing the Web
2008
ACM Transactions on Knowledge Discovery from Data
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The extracted relations can be used to construct and augment ontologies and knowledge bases. ...
For this purpose we retrieve relevant information from Web Search engines and Pubmed database using various lexico-syntactic patterns as queries over SOAP web services. ...
Table V shows coverage and correctness values for the extracted relations. ...
doi:10.1145/1342320.1342323
fatcat:xehpbfmuwva6bikugrflhc4qq4
From web tables to a knowledge graph: prospects of an end-to-end solution
[article]
2021
figshare.com
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Interrelated named entities can be extracted from web-tables and mapped to a knowledge graph. ...
This paper discusses prospects of an end-to-end solution for the knowledge graph population by entities extracted from web-tables of predefined types. ...
Web table extraction, retrieval, and augmentation: a survey. ...
doi:10.6084/m9.figshare.16621528.v1
fatcat:gwhxeemhqvds7d54dykreqez3a
Augmented EHR: Enrichment of EHR with Contents from Semantic Web Sources
2021
Applied Sciences
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This work presents methods to combine data from the Semantic Web into existing EHRs, leading to an augmented EHR. ...
The results are converted into a standardized EHR extract according to an archetype. This work sets the foundations to transform Semantic Web contents into normalized EHR extracts. ...
(C) Querying Semantic Web datasets. The next step is to build a SPARQL query to retrieve the augmentation content. ...
doi:10.3390/app11093978
doaj:8172b04fc6334b999d0b4dd399244190
fatcat:2ycx3aw6vrg7xfoxh4dxp5672m
Table Understanding: Rethinking of the Problem
[article]
2021
figshare.com
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This report presents our rethinking of the Table Understanding problem ...
Web table extraction, retrieval, and augmentation: a survey. ...
Web table extraction, retrieval, and augmentation: a survey. ...
doi:10.6084/m9.figshare.14836122.v1
fatcat:ommchmvvx5gfbdnmo5qebx5o4e
On-demand new word learning using world wide web
2008
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
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We first demonstrate the relevance of the Web for the OOV word retrieval. Then, different methods are proposed to retrieve the hypothesis words. ...
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. ...
In order to evaluate this assumption, we measure the rate on the web of the n-grams containing OOV words extracted from the exact transcripts. ...
doi:10.1109/icassp.2008.4518607
dblp:conf/icassp/OgerLBN08
fatcat:xfkk4ap355hqbkdlt7ian4qzm4
Enriching Existing Test Collections with OXPath
[chapter]
2017
Lecture Notes in Computer Science
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2017 pre-print arXiv:1706.06836v1 fatcat:uloczcz6ybbu3lcbcnrdmyri6u
We present a light-weight alternative that employs the web data extraction language OXPath to harvest data to be added to an existing test collection from web resources. ...
This allows the re-use of this collection for other evaluation purposes like bibliometrics-enhanced retrieval. ...
We propose a light-weight method for extending and augmenting the documents sets in test collections by incorporating the web extraction language OXPath. ...
doi:10.1007/978-3-319-65813-1_16
fatcat:ureylxntjreblpb2ty52ifqzt4
A hybrid classifier approach for Web retrieved documents classification
2004
International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.
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The paper p resents a hybrid technique for the classification of web returned hits into concept hierarchies. The technique involves a combination of manual and automatic classifiers. ...
At first, all web returned documents are assigned to human defined categories using m anual classifiers, and then automatic classifiers are used to generate a concept hierarchy for each of these categories ...
Introduction The Internet information overflow phenomenon makes it very difficult for web users to search and retrieve the information they need in a reasonable amount of time. ...
doi:10.1109/itcc.2004.1286474
dblp:conf/itcc/BotWCL04
fatcat:y554wlnkxzfwroxtmoox53zwje
Share Me - A Digital Annotation Sharing Service for Paper Documents with Multiple Clients Support
2013
2013 2nd IAPR Asian Conference on Pattern Recognition
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Our service uses a real-time document image retrieval method called Locally Likely Arrangement Hashing (LLAH) for providing information associated with the document. ...
We present the prototype implementation, and provide a discussion covering the technical details of the system. ...
This library provides core functions of LLAH: feature extraction, feature matching, optimized hash table, and database serialization. ...
doi:10.1109/acpr.2013.182
dblp:conf/acpr/TanakaIKIK13
fatcat:blqspf5i4vgvpmv5brrzdkuphu
Anchor text mining for translation of Web queries
2004
ACM Transactions on Information Systems
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A series of experiments has been conducted, including performance tests on term translation extraction, cross-language information retrieval, and translation suggestions for practical Web search services ...
through the mining of Web anchor texts and link structures. ...
Mark Sanderson and the anonymous reviewers for their valuable comments and suggestions. Many thanks are given to Mr. ...
doi:10.1145/984321.984324
fatcat:75mnaq3qmza6vdduluhn3yhm5m
Semantic Retrieval Approach for Web Documents
2011
International Journal of Advanced Computer Science and Applications
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In this paper, we propose the semantic information retrieval approach to extract the information from the web documents in certain domain (jaundice diseases) by collecting the domain relevant documents ...
Using Semantic Web is a way to increase the precision of information retrieval systems. ...
Output (for the Web page). Save and its Content in DB table. EndDo www.ijacsa.thesai.org
TABLE III III . ...
doi:10.14569/ijacsa.2011.020912
fatcat:6ppyaixuufgztnauxw3ps6sl5y
Public Opinion Channel: A System for Augmenting Social Intelligence of a Community
[chapter]
2001
Lecture Notes in Computer Science
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We propose POC prototype system for augmenting social intelligence of a community by eliciting and circulating diverse opinions. ...
To augment social intelligence of a community, (1) eliciting diverse opinions from community members, and (2) circulating opinions in the community are important. ...
Table 5 : 5 Sentences found in reterival results from a Web search engine. Sentences are extracted based on feature phrases. ...
doi:10.1007/3-540-45548-5_7
fatcat:otan6h355fhbzkj3fpwfg5ii74
Self-training Improves Pre-training for Natural Language Understanding
[article]
2020
arXiv
pre-print
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To obtain additional data for a specific task, we introduce SentAugment, a data augmentation method which computes task-specific query embeddings from labeled data to retrieve sentences from a bank of ...
billions of unlabeled sentences crawled from the web. ...
We introduce SentAugment, a new data augmentation method for NLP that retrieves relevant sentences from a large web data corpus. ...
arXiv:2010.02194v1
fatcat:i4btr6525zb7pe3dd2bfjum3ra
Context Disambiguation Based Semantic Web Search for Effective Information Retrieval
2011
Journal of Computer Science
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in the web page. ...
Results: The context of the user query is identified and formulated. The user query is enriched to get more relevant web pages that the user needs. ...
This selected core is augmented with the user query and passed to the web searcher to retrieve the results of the enriched queries. ...
doi:10.3844/jcssp.2011.548.553
fatcat:angllqchabf5lbo7zugonsyo5y
KnowMore – knowledge base augmentation with structured web markup
2018
Semantic Web Journal
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Knowledge bases are in wide-spread use for aiding tasks such as information extraction and information retrieval, where Web search is a prominent example. ...
We perform a thorough evaluation on a subset of the Web Data Commons dataset and show significant potential for augmenting existing KBs. ...
While the extraction of structured data from Web documents is costly and error-prone, the recent emergence of embedded and structured Web page markup has provided an unprecedented source of explicit entity-centric ...
doi:10.3233/sw-180304
fatcat:7qd7ozt5fjfrzmf7gckw3dqxly
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