際際滷shows by User: ranang1 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: ranang1 / Mon, 14 Feb 2011 16:39:06 GMT 際際滷Share feed for 際際滷shows by User: ranang1 Statistics-based Approaches to Lexical Semantics /ranang1/quotstatisticsbased-approaches-to-lexical-semanticsquot ranangtriallecture10-12977229258867-phpapp01
My Ph.D. trial lecture presentation, given February 5th 2010.]]>
My Ph.D. trial lecture presentation, given February 5th 2010.]]> Mon, 14 Feb 2011 16:39:06 GMT /ranang1/quotstatisticsbased-approaches-to-lexical-semanticsquot ranang1@slideshare.net(ranang1) Statistics-based Approaches to Lexical Semantics ranang1 My Ph.D. trial lecture presentation, given February 5th 2010. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ranangtriallecture10-12977229258867-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> My Ph.D. trial lecture presentation, given February 5th 2010.
Statistics-based Approaches to Lexical Semantics from Martin Thorsen Ranang
]]> 2801 3 https://cdn.slidesharecdn.com/ss_thumbnails/ranangtriallecture10-12977229258867-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 Open-Domain Word-Level Interpretation of Norwegian: Towards a General Encyclopedic Question-Answering System for Norwegian /slideshow/opendomain-wordlevel-interpretation-of-norwegian-towards-a-general-encyclopedic-questionanswering-system-for-norwegian/6916995 fulltext01-12976710313863-phpapp02
No large-scale, open-domain semantic resource for Norwegian, with a rich number of semantic relations currently exists. The existing semantic resources for Norwegian are either limited in size and/or incompatible with the de facto standard resources used for Natural Language Processing for English. Both current and future cultural, technological, economical, and educational consequences caused by the scarcity of advanced Norwegian language-technological solutions and resources has been widely acknowledged (Simonsen 2005; Norwegian Language Council 2005; Norwegian Ministry of Culture and Church Affairs 2008). This dissertation presents (1) a novel method that consists of a model and several algorithms for automatically mapping content words from a non-English source language to (a power set of) WordNet (Miller 1995; Fellbaum 1998) senses with average precision of up to 92.1 % and recall of up to 36.5 %. Because an important feature of the method is its ability to correctly handle compounds, this dissertation also presents (2) a practical implementation, including algorithms and a grammar, of a program for automatically analyzing Norwegian compounds. This work also shows (3) how Verto, an implementation of the model and algorithms, is used to create Ordnett, a large-scale, open-domain lexical-semantic resource for Norwegian with a rich number of semantic relations. Finally, this work argues that the new method and automatically generated resource makes it possible to build large-scale open-domain Natural Language Understanding systems, that offer both wide coverage and deep analyses, for Norwegian texts. This is done by showing (4) how Ordnett can be used in an open-domain question answering system that automatically extracts and acquires knowledge from Norwegian encyclopedic articles and uses the acquired knowledge to answer questions formulated in natural language by its users. The open-domain question answering system, named TUClopedia, is based on The Understanding Computer (Amble 2003) which has previously been successfully applied to narrow domains.]]>
No large-scale, open-domain semantic resource for Norwegian, with a rich number of semantic relations currently exists. The existing semantic resources for Norwegian are either limited in size and/or incompatible with the de facto standard resources used for Natural Language Processing for English. Both current and future cultural, technological, economical, and educational consequences caused by the scarcity of advanced Norwegian language-technological solutions and resources has been widely acknowledged (Simonsen 2005; Norwegian Language Council 2005; Norwegian Ministry of Culture and Church Affairs 2008). This dissertation presents (1) a novel method that consists of a model and several algorithms for automatically mapping content words from a non-English source language to (a power set of) WordNet (Miller 1995; Fellbaum 1998) senses with average precision of up to 92.1 % and recall of up to 36.5 %. Because an important feature of the method is its ability to correctly handle compounds, this dissertation also presents (2) a practical implementation, including algorithms and a grammar, of a program for automatically analyzing Norwegian compounds. This work also shows (3) how Verto, an implementation of the model and algorithms, is used to create Ordnett, a large-scale, open-domain lexical-semantic resource for Norwegian with a rich number of semantic relations. Finally, this work argues that the new method and automatically generated resource makes it possible to build large-scale open-domain Natural Language Understanding systems, that offer both wide coverage and deep analyses, for Norwegian texts. This is done by showing (4) how Ordnett can be used in an open-domain question answering system that automatically extracts and acquires knowledge from Norwegian encyclopedic articles and uses the acquired knowledge to answer questions formulated in natural language by its users. The open-domain question answering system, named TUClopedia, is based on The Understanding Computer (Amble 2003) which has previously been successfully applied to narrow domains.]]> Mon, 14 Feb 2011 02:11:46 GMT /slideshow/opendomain-wordlevel-interpretation-of-norwegian-towards-a-general-encyclopedic-questionanswering-system-for-norwegian/6916995 ranang1@slideshare.net(ranang1) Open-Domain Word-Level Interpretation of Norwegian: Towards a General Encyclopedic Question-Answering System for Norwegian ranang1 No large-scale, open-domain semantic resource for Norwegian, with a rich number of semantic relations currently exists. The existing semantic resources for Norwegian are either limited in size and/or incompatible with the de facto standard resources used for Natural Language Processing for English. Both current and future cultural, technological, economical, and educational consequences caused by the scarcity of advanced Norwegian language-technological solutions and resources has been widely acknowledged (Simonsen 2005; Norwegian Language Council 2005; Norwegian Ministry of Culture and Church Affairs 2008). This dissertation presents (1) a novel method that consists of a model and several algorithms for automatically mapping content words from a non-English source language to (a power set of) WordNet (Miller 1995; Fellbaum 1998) senses with average precision of up to 92.1 % and recall of up to 36.5 %. Because an important feature of the method is its ability to correctly handle compounds, this dissertation also presents (2) a practical implementation, including algorithms and a grammar, of a program for automatically analyzing Norwegian compounds. This work also shows (3) how Verto, an implementation of the model and algorithms, is used to create Ordnett, a large-scale, open-domain lexical-semantic resource for Norwegian with a rich number of semantic relations. Finally, this work argues that the new method and automatically generated resource makes it possible to build large-scale open-domain Natural Language Understanding systems, that offer both wide coverage and deep analyses, for Norwegian texts. This is done by showing (4) how Ordnett can be used in an open-domain question answering system that automatically extracts and acquires knowledge from Norwegian encyclopedic articles and uses the acquired knowledge to answer questions formulated in natural language by its users. The open-domain question answering system, named TUClopedia, is based on The Understanding Computer (Amble 2003) which has previously been successfully applied to narrow domains. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fulltext01-12976710313863-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> No large-scale, open-domain semantic resource for Norwegian, with a rich number of semantic relations currently exists. The existing semantic resources for Norwegian are either limited in size and/or incompatible with the de facto standard resources used for Natural Language Processing for English. Both current and future cultural, technological, economical, and educational consequences caused by the scarcity of advanced Norwegian language-technological solutions and resources has been widely acknowledged (Simonsen 2005; Norwegian Language Council 2005; Norwegian Ministry of Culture and Church Affairs 2008). This dissertation presents (1) a novel method that consists of a model and several algorithms for automatically mapping content words from a non-English source language to (a power set of) WordNet (Miller 1995; Fellbaum 1998) senses with average precision of up to 92.1 % and recall of up to 36.5 %. Because an important feature of the method is its ability to correctly handle compounds, this dissertation also presents (2) a practical implementation, including algorithms and a grammar, of a program for automatically analyzing Norwegian compounds. This work also shows (3) how Verto, an implementation of the model and algorithms, is used to create Ordnett, a large-scale, open-domain lexical-semantic resource for Norwegian with a rich number of semantic relations. Finally, this work argues that the new method and automatically generated resource makes it possible to build large-scale open-domain Natural Language Understanding systems, that offer both wide coverage and deep analyses, for Norwegian texts. This is done by showing (4) how Ordnett can be used in an open-domain question answering system that automatically extracts and acquires knowledge from Norwegian encyclopedic articles and uses the acquired knowledge to answer questions formulated in natural language by its users. The open-domain question answering system, named TUClopedia, is based on The Understanding Computer (Amble 2003) which has previously been successfully applied to narrow domains.
Open-Domain Word-Level Interpretation of Norwegian: Towards a General Encyclopedic Question-Answering System for Norwegian from Martin Thorsen Ranang
]]> 7829 4 https://cdn.slidesharecdn.com/ss_thumbnails/fulltext01-12976710313863-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds document White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Ph.D. Defense Presentation of "Open-Domain Word-Level Interpretation of Norwegian: Towards a General Encyclopedic Question-Answering System for Norwegian" /ranang1/phd-defense-presentation-of-quotopendomain-wordlevel-interpretation-of-norwegian-towards-a-general-encyclopedic-questionanswering-system-for-norwegianquot ranangphddefense10-12976703219056-phpapp02
A presentation of my research for my Ph.D. defense, February 5th, 2010.]]>
A presentation of my research for my Ph.D. defense, February 5th, 2010.]]> Mon, 14 Feb 2011 02:09:41 GMT /ranang1/phd-defense-presentation-of-quotopendomain-wordlevel-interpretation-of-norwegian-towards-a-general-encyclopedic-questionanswering-system-for-norwegianquot ranang1@slideshare.net(ranang1) Ph.D. Defense Presentation of "Open-Domain Word-Level Interpretation of Norwegian: Towards a General Encyclopedic Question-Answering System for Norwegian" ranang1 A presentation of my research for my Ph.D. defense, February 5th, 2010. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ranangphddefense10-12976703219056-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A presentation of my research for my Ph.D. defense, February 5th, 2010.
Ph.D. Defense Presentation of "Open-Domain Word-Level Interpretation of Norwegian: Towards a General Encyclopedic Question-Answering System for Norwegian" from Martin Thorsen Ranang
]]> 2237 3 https://cdn.slidesharecdn.com/ss_thumbnails/ranangphddefense10-12976703219056-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 https://cdn.slidesharecdn.com/profile-photo-ranang1-48x48.jpg?cb=1523033181 I am a senior software engineer, and have been programming for 25+ years, and still strive to increase my knowledge and to improve both my skills, efficiency and my methodology. I love problem solving and engineering scalable, flexible solutions that help other people. I have developed Web applications since 1996. I have an extensive experience with problem solving and solution design, software architectural design, scalability, and network programming. Since 1998, I have researched and developed natural language processing systems, and since 2002 I researched ontologies, semantic resources, natural language understanding, and information extraction and retrieval for my Ph.D. I hav... blog.ranang.org/ https://cdn.slidesharecdn.com/ss_thumbnails/ranangtriallecture10-12977229258867-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds ranang1/quotstatisticsbased-approaches-to-lexical-semanticsquot Statistics-based Appro... https://cdn.slidesharecdn.com/ss_thumbnails/fulltext01-12976710313863-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/opendomain-wordlevel-interpretation-of-norwegian-towards-a-general-encyclopedic-questionanswering-system-for-norwegian/6916995 Open-Domain Word-Level... https://cdn.slidesharecdn.com/ss_thumbnails/ranangphddefense10-12976703219056-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds ranang1/phd-defense-presentation-of-quotopendomain-wordlevel-interpretation-of-norwegian-towards-a-general-encyclopedic-questionanswering-system-for-norwegianquot Ph.D. Defense Presenta...