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Information extraction
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#	Item
81	Sentence Simplification and Its Application to Information Extraction 1 1,2 Add to Reading List Source URL: www.eecis.udel.edu Language: English - Date: 2011-05-26 11:37:35 Protein kinases Signal transduction Mitogen-activated Protein Kinases Mitogen-activated protein kinase Tyrosine hydroxylase C-Raf MAPK1 MAP2K1 MAPK3 MAPK/ERK pathway
82	Extracting Route Directions from Web Pages Xiao Zhang! , Prasenjit Mitra!† , Sen Xu‡ , Anuj R. Jaiswal† , Alex Klippel‡ , Alan MacEachren‡ ! Department of Computer Science and Engineering Add to Reading List Source URL: webdb09.cse.buffalo.edu Language: English - Date: 2009-06-24 13:24:22 Natural language processing Machine learning Markov models Computational linguistics Data mining Information extraction Part-of-speech tagging Search engine indexing Conditional random field Speech recognition Sentence Bag-of-words model
83	NEWS AND INFORMATION TO SHARE, MEAB_RUBRIK Add to Reading List Source URL: www.meab-mx.se Language: English - Date: 2006-12-22 04:16:59 Mixer-settler Laboratory techniques Mixer Mixing Liquidliquid extraction Pilot plant Laboratory Exhaust mixer
84	FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D2.3.2 Multilingual resources and evaluation of Add to Reading List Source URL: www.trendminer-project.eu Language: English - Date: 2014-10-31 13:07:01 Computational linguistics Natural language processing Named-entity recognition DBpedia Entity linking Information extraction Word-sense disambiguation YAGO
85	SPECIAL SECTION: ONTOLOGICAL ISSUES FOR THE NATIONAL MAP WALL-E and the ‘‘Many, Many’’ Maps: Toward User-Centred Ontologies for The National Map Barbara S. Poore US Geological Survey / Saint Petersburg / FL / US Add to Reading List Source URL: cegis.usgs.gov Language: English - Date: 2013-03-12 13:40:56 Semantic Web Ontology Information science Knowledge representation Technical communication Geographic information system Semantic interoperability Web Ontology Language Relationship extraction Draft:Outline of ontologies Upper ontology
86	Temporal Relation Classification Based on Temporal Reasoning Francisco Costa University of Lisbon Ant´onio Branco Add to Reading List Source URL: www.di.fc.ul.pt Language: English - Date: 2016-05-03 08:49:38 Natural language processing Computational linguistics Semantics Artificial intelligence Temporal annotation TimeML SemEval Information extraction Temporal expressions Statistical classification Reasoning system Support vector machine
87	FOURIER FILTERING OF LANDSAT DATA FOR INFORMATION EXTRACTION IN SURVEYING AND MAPPING G.D. Lodwick S.H. Paine K. Ratchinsky Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-30 01:26:37 Filter theory Linear filters Signal processing Electronic design Digital signal processing Filter Electronic filter Low-pass filter High-pass filter Nonlinear filter Butterworth filter Multirate filter bank and multidimensional directional filter banks
88	Named Entity Disambiguation using Linked Data Danica Damljanovic and Kalina Bontcheva Department of Computer Science, University of Sheffield Regent Court, 211 Portobello Street, Sheffield, UK d.damljanovic, k.bontcheva@ Add to Reading List Source URL: 2012.eswc-conferences.org Language: English - Date: 2012-07-23 09:47:44 Natural language processing Semantic Web Open data Computational linguistics Knowledge representation DBpedia Named-entity recognition Linked data Information extraction Resource Description Framework Precision and recall Entity linking
89	Adam Meyers: Research Statement for Natural Language Processing My research focuses on the role of linguistic knowledge in Natural Language Processing (NLP), including resource creation, knowledge-based processing and li Add to Reading List Source URL: nlp.cs.nyu.edu Language: English - Date: 2015-08-14 14:52:35 Computational linguistics Grammar Natural language processing Semantics Corpus linguistics Treebank PropBank Predicate Argument Information extraction Clause FrameNet
90	Automatic selection of table areas in documents for information extraction Ana Costa e Silva1, Alípio Jorge2, Luís Torgo2 1Banco de Portugal , Portugal, Universidade do Porto, Faculdade de Economi Add to Reading List Source URL: www.dcc.fc.up.pt Language: English* - Date: 2012-12-13 10:18:42 Arrays Join Algorithm HTML element Lookup table Periodic table Hash table Hough transform

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