際際滷shows by User: bronko85 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: bronko85 / Thu, 12 Feb 2015 05:31:36 GMT 際際滷Share feed for 際際滷shows by User: bronko85 me_t3_october /slideshow/met3october/44590804 785cec87-abf1-4fc4-859d-43c4ffbdab30-150212053136-conversion-gate01
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]]> Thu, 12 Feb 2015 05:31:36 GMT /slideshow/met3october/44590804 bronko85@slideshare.net(bronko85) me_t3_october bronko85 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/785cec87-abf1-4fc4-859d-43c4ffbdab30-150212053136-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
me_t3_october from Michele Filannino
]]> 476 1 https://cdn.slidesharecdn.com/ss_thumbnails/785cec87-abf1-4fc4-859d-43c4ffbdab30-150212053136-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Using machine learning to predict temporal orientation of search engines queries in the Temporalia challenge /slideshow/filannino-ntcir-11temporaliapresentation/42588666 filanninontcir-11temporaliapresentation-141210211821-conversion-gate01
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]]> Wed, 10 Dec 2014 21:18:21 GMT /slideshow/filannino-ntcir-11temporaliapresentation/42588666 bronko85@slideshare.net(bronko85) Using machine learning to predict temporal orientation of search engines queries in the Temporalia challenge bronko85 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/filanninontcir-11temporaliapresentation-141210211821-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Using machine learning to predict temporal orientation of search engines queries in the Temporalia challenge from Michele Filannino
]]> 667 6 https://cdn.slidesharecdn.com/ss_thumbnails/filanninontcir-11temporaliapresentation-141210211821-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Temporal information extraction in the general and clinical domain /slideshow/temporal-information-extraction-in-the-general-and-clinical-domain/40928667 justthepresentation-141030121500-conversion-gate01
30th October 2014 School of Computer Science Research Symposium 2014 The University of Manchester]]>
30th October 2014 School of Computer Science Research Symposium 2014 The University of Manchester]]> Thu, 30 Oct 2014 12:15:00 GMT /slideshow/temporal-information-extraction-in-the-general-and-clinical-domain/40928667 bronko85@slideshare.net(bronko85) Temporal information extraction in the general and clinical domain bronko85 30th October 2014 School of Computer Science Research Symposium 2014 The University of Manchester <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/justthepresentation-141030121500-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 30th October 2014 School of Computer Science Research Symposium 2014 The University of Manchester
Temporal information extraction in the general and clinical domain from Michele Filannino
]]> 939 5 https://cdn.slidesharecdn.com/ss_thumbnails/justthepresentation-141030121500-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Mining temporal footprints from Wikipedia /slideshow/mining-temporal-footprints-from-wikipedia/38363768 miningtemporalfootprintsfromwikipedia-filannino-140826060815-phpapp02
Discovery of temporal information is key for organising knowledge and therefore the task of extracting and representing temporal information from texts has received an increasing interest. In this paper we focus on the discovery of temporal footprints from encyclopaedic descriptions. Temporal footprints are time-line periods that are associated to the existence of specific concepts. Our approach relies on the extraction of date mentions and prediction of lower and upper bound- aries that define temporal footprints. We report on several experiments on persons pages from Wikipedia in order to illustrate the feasibility of the proposed methods.]]>
Discovery of temporal information is key for organising knowledge and therefore the task of extracting and representing temporal information from texts has received an increasing interest. In this paper we focus on the discovery of temporal footprints from encyclopaedic descriptions. Temporal footprints are time-line periods that are associated to the existence of specific concepts. Our approach relies on the extraction of date mentions and prediction of lower and upper bound- aries that define temporal footprints. We report on several experiments on persons pages from Wikipedia in order to illustrate the feasibility of the proposed methods.]]> Tue, 26 Aug 2014 06:08:15 GMT /slideshow/mining-temporal-footprints-from-wikipedia/38363768 bronko85@slideshare.net(bronko85) Mining temporal footprints from Wikipedia bronko85 Discovery of temporal information is key for organising knowledge and therefore the task of extracting and representing temporal information from texts has received an increasing interest. In this paper we focus on the discovery of temporal footprints from encyclopaedic descriptions. Temporal footprints are time-line periods that are associated to the existence of specific concepts. Our approach relies on the extraction of date mentions and prediction of lower and upper bound- aries that define temporal footprints. We report on several experiments on persons pages from Wikipedia in order to illustrate the feasibility of the proposed methods. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/miningtemporalfootprintsfromwikipedia-filannino-140826060815-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Discovery of temporal information is key for organising knowledge and therefore the task of extracting and representing temporal information from texts has received an increasing interest. In this paper we focus on the discovery of temporal footprints from encyclopaedic descriptions. Temporal footprints are time-line periods that are associated to the existence of specific concepts. Our approach relies on the extraction of date mentions and prediction of lower and upper bound- aries that define temporal footprints. We report on several experiments on persons pages from Wikipedia in order to illustrate the feasibility of the proposed methods.
Mining temporal footprints from Wikipedia from Michele Filannino
]]> 1074 2 https://cdn.slidesharecdn.com/ss_thumbnails/miningtemporalfootprintsfromwikipedia-filannino-140826060815-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Can computers understand time? /slideshow/can-computers-understand-time/34184742 cancomputersunderstandtime-140501173733-phpapp02
Human brain has evolved to master, among the others, the capacity of extracting flows of events out of a speech or a written text. This temporal sense, mainly unconscious, allows us to summarise, organise, remember and combine different pieces of information working out new insights and discoveries. The temporal dimension is an inescapable and easy truth for us, but enabling machines to fully deal with time is a challenging task. Computers are still incapable of detecting temporal incompatibilities, summarising workflows or identifying causes and consequences of facts. My research wants to answer the following questions: Can computers understand time? And what possibilities will that unlock?]]>
Human brain has evolved to master, among the others, the capacity of extracting flows of events out of a speech or a written text. This temporal sense, mainly unconscious, allows us to summarise, organise, remember and combine different pieces of information working out new insights and discoveries. The temporal dimension is an inescapable and easy truth for us, but enabling machines to fully deal with time is a challenging task. Computers are still incapable of detecting temporal incompatibilities, summarising workflows or identifying causes and consequences of facts. My research wants to answer the following questions: Can computers understand time? And what possibilities will that unlock?]]> Thu, 01 May 2014 17:37:33 GMT /slideshow/can-computers-understand-time/34184742 bronko85@slideshare.net(bronko85) Can computers understand time? bronko85 Human brain has evolved to master, among the others, the capacity of extracting flows of events out of a speech or a written text. This temporal sense, mainly unconscious, allows us to summarise, organise, remember and combine different pieces of information working out new insights and discoveries. The temporal dimension is an inescapable and easy truth for us, but enabling machines to fully deal with time is a challenging task. Computers are still incapable of detecting temporal incompatibilities, summarising workflows or identifying causes and consequences of facts. My research wants to answer the following questions: Can computers understand time? And what possibilities will that unlock? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cancomputersunderstandtime-140501173733-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Human brain has evolved to master, among the others, the capacity of extracting flows of events out of a speech or a written text. This temporal sense, mainly unconscious, allows us to summarise, organise, remember and combine different pieces of information working out new insights and discoveries. The temporal dimension is an inescapable and easy truth for us, but enabling machines to fully deal with time is a challenging task. Computers are still incapable of detecting temporal incompatibilities, summarising workflows or identifying causes and consequences of facts. My research wants to answer the following questions: Can computers understand time? And what possibilities will that unlock?
Can computers understand time? from Michele Filannino
]]> 638 5 https://cdn.slidesharecdn.com/ss_thumbnails/cancomputersunderstandtime-140501173733-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Detecting novel associations in large data sets /slideshow/detecting-novel-associations-in-large-data-sets/11866851 detectingnovelassociationsinlargedatasets-120305044005-phpapp02
Paper presentation: D. N. Reshef et al., Detecting Novel Associations in Large Data Sets, Science, vol. 334, no. 6062, pp. 1518-1524, 2011.]]>
Paper presentation: D. N. Reshef et al., Detecting Novel Associations in Large Data Sets, Science, vol. 334, no. 6062, pp. 1518-1524, 2011.]]> Mon, 05 Mar 2012 04:40:02 GMT /slideshow/detecting-novel-associations-in-large-data-sets/11866851 bronko85@slideshare.net(bronko85) Detecting novel associations in large data sets bronko85 Paper presentation: D. N. Reshef et al., Detecting Novel Associations in Large Data Sets, Science, vol. 334, no. 6062, pp. 1518-1524, 2011. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/detectingnovelassociationsinlargedatasets-120305044005-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Paper presentation: D. N. Reshef et al., Detecting Novel Associations in Large Data Sets, Science, vol. 334, no. 6062, pp. 1518-1524, 2011.
Detecting novel associations in large data sets from Michele Filannino
]]> 1540 2 https://cdn.slidesharecdn.com/ss_thumbnails/detectingnovelassociationsinlargedatasets-120305044005-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Temporal expressions identification in biomedical texts /slideshow/temporal-expressions-identification-in-biomedical-texts/11866733 temporalexpressionsinbiomedicaltexts-120305042937-phpapp01
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]]> Mon, 05 Mar 2012 04:29:35 GMT /slideshow/temporal-expressions-identification-in-biomedical-texts/11866733 bronko85@slideshare.net(bronko85) Temporal expressions identification in biomedical texts bronko85 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/temporalexpressionsinbiomedicaltexts-120305042937-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Temporal expressions identification in biomedical texts from Michele Filannino
]]> 1023 3 https://cdn.slidesharecdn.com/ss_thumbnails/temporalexpressionsinbiomedicaltexts-120305042937-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 My research taster project /slideshow/my-research-taster-project/11866688 researchtasterproject-120305042542-phpapp02
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My research taster project from Michele Filannino
]]> 1131 3 https://cdn.slidesharecdn.com/ss_thumbnails/researchtasterproject-120305042542-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Nonlinear component analysis as a kernel eigenvalue problem /slideshow/nonlinear-component-analysis-as-a-kernel-eigenvalue-problem/10541965 pdf-111210062918-phpapp01
Presentation of the Kernel PCA paper.]]>
Presentation of the Kernel PCA paper.]]> Sat, 10 Dec 2011 06:29:17 GMT /slideshow/nonlinear-component-analysis-as-a-kernel-eigenvalue-problem/10541965 bronko85@slideshare.net(bronko85) Nonlinear component analysis as a kernel eigenvalue problem bronko85 Presentation of the Kernel PCA paper. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pdf-111210062918-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation of the Kernel PCA paper.
Nonlinear component analysis as a kernel eigenvalue problem from Michele Filannino
]]> 4230 6 https://cdn.slidesharecdn.com/ss_thumbnails/pdf-111210062918-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Sviluppo di un algoritmo di similarit a supporto dell'annotazione semantica di web services /slideshow/sviluppo-di-un-algoritmo-di-similarit-a-supporto-dellannotazione-semantica-di-web-services/5355742 presentazione-101004152444-phpapp02
Presentation of my Master Degree in Computer Science.]]>
Presentation of my Master Degree in Computer Science.]]> Mon, 04 Oct 2010 15:24:33 GMT /slideshow/sviluppo-di-un-algoritmo-di-similarit-a-supporto-dellannotazione-semantica-di-web-services/5355742 bronko85@slideshare.net(bronko85) Sviluppo di un algoritmo di similarit a supporto dell'annotazione semantica di web services bronko85 Presentation of my Master Degree in Computer Science. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentazione-101004152444-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation of my Master Degree in Computer Science.
Sviluppo di un algoritmo di similarit a supporto dell'annotazione semantica di web services from Michele Filannino
]]> 819 1 https://cdn.slidesharecdn.com/ss_thumbnails/presentazione-101004152444-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Tecniche fuzzy per l'elaborazione del linguaggio naturale /slideshow/tecniche-fuzzy-per-lelaborazione-del-linguaggio-naturale/5038473 filanninomichele-bari13luglio2010-100823085933-phpapp01
Idea vincitrice del Working Capital 2010 (Bari). Telecom Italia ha finanziato questa ricerca con una borsa di studio.]]>
Idea vincitrice del Working Capital 2010 (Bari). Telecom Italia ha finanziato questa ricerca con una borsa di studio.]]> Mon, 23 Aug 2010 08:59:26 GMT /slideshow/tecniche-fuzzy-per-lelaborazione-del-linguaggio-naturale/5038473 bronko85@slideshare.net(bronko85) Tecniche fuzzy per l'elaborazione del linguaggio naturale bronko85 Idea vincitrice del Working Capital 2010 (Bari). Telecom Italia ha finanziato questa ricerca con una borsa di studio. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/filanninomichele-bari13luglio2010-100823085933-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Idea vincitrice del Working Capital 2010 (Bari). Telecom Italia ha finanziato questa ricerca con una borsa di studio.
Tecniche fuzzy per l'elaborazione del linguaggio naturale from Michele Filannino
]]> 816 9 https://cdn.slidesharecdn.com/ss_thumbnails/filanninomichele-bari13luglio2010-100823085933-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Algoritmo di text-similarity per l'annotazione semantica di Web Service /slideshow/algoritmo-di-textsimilarity-per-lannotazione-semantica-di-web-service/5038446 2010-100823085808-phpapp01
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]]> Mon, 23 Aug 2010 08:56:57 GMT /slideshow/algoritmo-di-textsimilarity-per-lannotazione-semantica-di-web-service/5038446 bronko85@slideshare.net(bronko85) Algoritmo di text-similarity per l'annotazione semantica di Web Service bronko85 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2010-100823085808-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Algoritmo di text-similarity per l'annotazione semantica di Web Service from Michele Filannino
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]]> Mon, 23 Aug 2010 08:52:20 GMT /slideshow/swop-project-and-meta-software/5038411 bronko85@slideshare.net(bronko85) SWOP project and META software bronko85 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2010-100823085227-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
SWOP project and META software from Michele Filannino
]]> 582 2 https://cdn.slidesharecdn.com/ss_thumbnails/2010-100823085227-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Semantic Web Service Annotation /slideshow/semantic-web-service-annotation/5037468 2010-12825617299153-phpapp02
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]]> Mon, 23 Aug 2010 06:16:07 GMT /slideshow/semantic-web-service-annotation/5037468 bronko85@slideshare.net(bronko85) Semantic Web Service Annotation bronko85 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2010-12825617299153-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Semantic Web Service Annotation from Michele Filannino
]]> 390 2 https://cdn.slidesharecdn.com/ss_thumbnails/2010-12825617299153-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Orchestrazione delle risorse umane nel BPM /slideshow/orchestrazione-delle-risorse-umane-nel-bpm/4359876 tesipdf-100531035739-phpapp01
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]]> Mon, 31 May 2010 03:57:39 GMT /slideshow/orchestrazione-delle-risorse-umane-nel-bpm/4359876 bronko85@slideshare.net(bronko85) Orchestrazione delle risorse umane nel BPM bronko85 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tesipdf-100531035739-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Orchestrazione delle risorse umane nel BPM from Michele Filannino
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]]> Tue, 12 Jan 2010 06:02:10 GMT /bronko85/modulo-di-serendipit-in-un-item-recommender-system bronko85@slideshare.net(bronko85) Modulo di serendipit in un Item Recommender System bronko85 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentazione-100112060217-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Modulo di serendipit in un Item Recommender System from Michele Filannino
]]> 995 5 https://cdn.slidesharecdn.com/ss_thumbnails/presentazione-100112060217-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Serendipity module in Item Recommender System /slideshow/serendipity-module-in-item-recommendation-system/2893662 presentazioneeng-100112054642-phpapp01
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]]> Tue, 12 Jan 2010 05:46:28 GMT /slideshow/serendipity-module-in-item-recommendation-system/2893662 bronko85@slideshare.net(bronko85) Serendipity module in Item Recommender System bronko85 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentazioneeng-100112054642-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Serendipity module in Item Recommender System from Michele Filannino
]]> 1932 6 https://cdn.slidesharecdn.com/ss_thumbnails/presentazioneeng-100112054642-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Orchestrazione di risorse umane nel BPM: Gestione dinamica feature-based delle organizzazioni nella piattaforma openwork /slideshow/orchestrazione-di-risorse-umane-nel-bpm-gestione-dinamica-featurebased-delle-organizzazioni-nella-piattaforma-openwork/2893593 presentazionetesipptx-100112053120-phpapp01
Tesi di laurea triennale in Informatica e Tecnologie per la produzione del software.]]>
Tesi di laurea triennale in Informatica e Tecnologie per la produzione del software.]]> Tue, 12 Jan 2010 05:31:12 GMT /slideshow/orchestrazione-di-risorse-umane-nel-bpm-gestione-dinamica-featurebased-delle-organizzazioni-nella-piattaforma-openwork/2893593 bronko85@slideshare.net(bronko85) Orchestrazione di risorse umane nel BPM: Gestione dinamica feature-based delle organizzazioni nella piattaforma openwork bronko85 Tesi di laurea triennale in Informatica e Tecnologie per la produzione del software. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentazionetesipptx-100112053120-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tesi di laurea triennale in Informatica e Tecnologie per la produzione del software.
Orchestrazione di risorse umane nel BPM: Gestione dinamica feature-based delle organizzazioni nella piattaforma openwork from Michele Filannino
]]> 667 3 https://cdn.slidesharecdn.com/ss_thumbnails/presentazionetesipptx-100112053120-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-bronko85-48x48.jpg?cb=1594130238 Produttore di fiorellini; snail trainer. Specialties: Natural language processing, text mining, machine learning, information extraction, information normalisation. www.cs.man.ac.uk/~filannim/ https://cdn.slidesharecdn.com/ss_thumbnails/785cec87-abf1-4fc4-859d-43c4ffbdab30-150212053136-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/met3october/44590804 me_t3_october https://cdn.slidesharecdn.com/ss_thumbnails/filanninontcir-11temporaliapresentation-141210211821-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/filannino-ntcir-11temporaliapresentation/42588666 Using machine learning... https://cdn.slidesharecdn.com/ss_thumbnails/justthepresentation-141030121500-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/temporal-information-extraction-in-the-general-and-clinical-domain/40928667 Temporal information e...