'+pages+''); $('.stream > div:odd').addClass('bgr_color'); updateHeight('#history'); }); window.activateTabArea = ensure(function(tab, areas){ var parsed = false; var parts = (areas || '').split('/'); window.fsonload = $.inArray('fs', parts) >= 0; if(fsonload){ parts.splice(parts.indexOf('fs'), 1); } var replayMode = false; if($.inArray('replay', parts)>=0){ replayMode = 'replay'; } var noSoundMode = false; if($.inArray('nosound', parts)>=0){ noSoundMode = 'nosound'; } if($.inArray('ns', parts)>=0){ noSoundMode = 'ns'; } var previewMode = null; if($.inArray('p', parts)>=0){ previewMode = 'p'; } if($.inArray('preview', parts)>=0){ previewMode = 'preview'; } if($.inArray('repeat', parts)>=0){ replayMode = 'repeat'; } if($.inArray('r', parts)>=0 || $.inArray('ro', parts)>=0){ replayMode = 'r'; } if(replayMode){ parts.splice(parts.indexOf(replayMode), 1); } if(noSoundMode){ parts.splice(parts.indexOf(noSoundMode), 1); } if(previewMode){ parts.splice(parts.indexOf(previewMode), 1); } if(previewMode){ if(!parts.length){ parts = ['1-14', '999:59']; } } var area = parts[0]; if(tab == 'history' && false){ var page = parseInt(area || '1') || 1; $.ajax({ url: 'https://login.wn.com/recent/json/?pp='+history_pp+'&skip='+history_pp*(page-1), dataType: 'jsonp', success: function(response){ $ensure(function(){ renderHistory(response, page); }); } }); return true; } if(tab == 'global_history' && false){ var page = parseInt(area || '1') || 1; globalHistory.fetchStream(page, '', function(){ updateHeight('#global_history'); }); return true; } if(tab == 'my_playlists' && false){ var page = parseInt(area || '1') || 1; myPlaylists.fetchStream(page, '', function(){ updateHeight('#my_playlists'); }); return true; } if(tab == 'my_videos' && false){ var page = parseInt(area || '1') || 1; myVideos.fetchStream(page, '', function(){ updateHeight('#my_videos'); }); return true; } if(tab == 'related_sites' && areas && matchPosition(areas)){ var seconds = parsePosition(areas); scrollRelated(seconds); return false; } if(matchPosition(area) || matchAction(area)){ parts.unshift('1'); area = parts[0]; } if(tab == 'expand' && area && area.match(/\d+/)) { var num = parseInt(area); if(num < 100){ //FIX ME. Load news page with ajax here } else if(num > 1900){ //FIX ME. Load timeline page with ajax here } } else if(tab.match(/^playlist\d+$/)){ var playerId = parseInt(tab.substring(8)); var vp = videoplayers[playerId]; window.descriptionsholder = $('.descriptionsplace'); if(!vp) return; // why? no player? if(replayMode){ $('.replaycurrent'+playerId).attr('checked', true); vp.setReplayCurrent(true); } var playQueue = []; window.playQueue = playQueue; var playQueuePosition = 0; var playShouldStart = null; var playShouldStop = null; var parseList = function(x){ var items = x.split(/;|,/g); var results = []; for (i in items){ try{ var action = parseAction(vp, items[i]); if(!action.video){ if(window.console && console.log) console.log("Warning: No video for queued entry: " + items[i]); }else{ results.push(action); } }catch(e){ if(window.console && console.log) console.log("Warning: Can''t parse queue entry: " + items[i]); } } return results; }; var scrollToPlaylistPosition = function(vp){ var ppos = vp.getPlaylistPosition(); var el = vp.playlistContainer.find('>li').eq(ppos); var par = el.closest('.playlist_scrollarea'); par.scrollTop(el.offset().top-par.height()/2); } var updateVolumeState = function(){ if(noSoundMode){ if(noSoundMode == 'turn-on'){ clog("Sound is on, vsid="+vp.vsid); vp.setVolumeUnMute(); noSoundMode = false; }else{ clog("Sound is off, vsid="+vp.vsid); vp.setVolumeMute(); noSoundMode = 'turn-on'; } } } var playQueueUpdate = function(){ var playPosition = playQueue[playQueuePosition]; vp.playFromPlaylist(playPosition.video); scrollToPlaylistPosition(vp); playShouldStart = playPosition.start; playShouldStop = playPosition.stop; }; var playQueueAdvancePosition = function(){ clog("Advancing play position..."); playQueuePosition ++; while(playQueuePosition < playQueue.length && !playQueue[playQueuePosition].video){ playQueuePosition ++; } if(playQueuePosition < playQueue.length){ playQueueUpdate(); }else if(vp.getReplayCurrent()){ playQueuePosition = 0; playQueueUpdate(); vp.seekTo(playShouldStart); vp.playVideo(); }else{ vp.pauseVideo(); playShouldStop = null; playShouldStart = null; } }; function loadMoreVideos(playerId, vp, start, finish, callback){ var playlistInfo = playlists[playerId-1]; if(playlistInfo.loading >= finish) return; playlistInfo.loading = finish; $.ajax({ url: '/api/upge/cheetah-photo-search/query_videos2', dataType: 'json', data: { query: playlistInfo.query, orderby: playlistInfo.orderby, start: start, count: finish-start }, success: function(response){ var pl = vp.getPlaylist().slice(0); pl.push.apply(pl, response); vp.setPlaylist(pl); callback(); } }); } if(parts.length == 1 && matchDash(parts[0])){ var pl = vp.getActualPlaylist(); var vids = parseDash(parts[0]); parts = []; for(var i = 0; i < vids.length; i++){ playQueue.push({ 'video': pl[vids[i]-1], 'start': 0, 'stop': null }) } if(vids.length){ if(vids[vids.length-1]-1>=pl.length){ loadMoreVideos(playerId, vp, pl.length, vids[vids.length-1], function(){ if(fsonload){ activateTabArea(tab, parts[0]+'/fs'); }else{ activateTabArea(tab, parts[0]); } var pls = vp.getPlaylist(); vp.playFromPlaylist(pls[pls.length-1]); vp.playVideo(); scrollToPlaylistPosition(vp); }); return true; } } if(playQueue){ playQueueUpdate(); vp.playVideo(); parsed = true; playShouldStart = 0; } } if(previewMode){ var vids = []; var dur = 0; var pl = vp.getActualPlaylist(); area = parts[0]; if(parts.length == 1 && matchPosition(parts[0])){ vids = parseDash('1-'+pl.length); dur = parsePosition(parts[0]); parts = []; }else if(parts.length == 1 && matchDash(parts[0])){ vids = parseDash(parts[0]); dur = parsePosition("999:59"); parts = []; } if(parts.length == 2 && matchDash(parts[0]) && matchPosition(parts[1])){ vids = parseDash(parts[0]); dur = parsePosition(parts[1]); parts = []; } for(var i = 0; i < vids.length; i++){ playQueue.push({ 'video': pl[vids[i]-1], 'start': 0, 'stop': dur }) } if(playQueue){ playQueueUpdate(); vp.playVideo(); parsed = true; } } if(parts.length>1){ for(var i = 0; i < parts.length; i++){ var sel = findMatchingVideo(vp, parts[i]); if(sel){ playQueue.push({ 'video': sel, 'start': 0, 'stop': null }) } } if(playQueue){ playQueueUpdate(); vp.playVideo(); parsed = true; } }else if(area){ var sel = findMatchingVideo(vp, area); if(sel){ vp.playFromPlaylist(sel); playShouldStart = 0; parsed = true; } } if(fsonload || replayMode){ playShouldStart = 0; } if(document.location.search.match('at=|queue=')){ var opts = document.location.search.replace(/^\?/,'').split(/&/g); for(var o in opts){ if(opts[o].match(/^at=(\d+:)?(\d+:)?\d+$/)){ playShouldStart = parsePosition(opts[o].substr(3)) } if(opts[o].match(/^queue=/)){ playQueue = parseList(opts[o].substr(6)); if(playQueue){ playQueuePosition = 0; playQueueUpdate(); } } } } if(matchPosition(parts[1])){ playShouldStart = parsePosition(parts[1]); parsed = true; } if(matchAction(parts[1])){ var action = parseAction(vp, area+'/'+parts[1]); playShouldStart = action.start; playShouldStop = action.stop; parsed = true; } if(playShouldStart !== null && !playQueue.length){ playQueue.push({ video: vp.getCurrentVideo(), start: playShouldStart, stop: playShouldStop }); } if(playShouldStart != null){ setInterval(function(){ if(playShouldStop && vp.currentPlayer && vp.currentPlayer.getCurrentTime() > playShouldStop){ playShouldStop = null; if(vp.getCurrentVideo() == playQueue[playQueuePosition].video){ playQueueAdvancePosition(); }else{ playShouldStart = null; } } }, 500); vp.playerContainer.bind('videoplayer.player.statechange', function(e, state){ if(state == 'ended'){ // advance to the next video playQueueAdvancePosition(); } }); vp.playerContainer.bind('videoplayer.player.readychange', function(e, state){ if(state){ updateVolumeState(); if(playShouldStart !== null){ vp.seekTo(playShouldStart); playShouldStart = null; }else{ playShouldStop = null; // someone started other video, stop playing from playQueue } } if(fsonload) { triggerFullscreen(playerId); fsonload = false; } }); } } else if(tab.match(/^wiki\d+$/)){ if(firstTimeActivate){ load_wiki($('#'+tab), function(){ if(area){ var areaNode = $('#'+area); if(areaNode.length>0){ $('html, body').scrollTop(areaNode.offset().top + 10); return true; } } }); } } return parsed; }) window.activateTab = ensure(function(tab, area){ window.activeArea = null; if(tab == 'import_videos'){ if(area){ import_videos(area); }else{ start_import(); } return true; } if(tab == 'chat'){ update_chat_position($('.chat').eq(0)); window.activeArea = 'chat'; jQuery('.tabtrigger').offscreentabs('activateTab', 'chat'); return true; } if(tab in rev_names){ tab = rev_names[tab]; } if(tab.match(':')){ return false; } var sup = $('ul li a[id=#'+tab+']'); if(sup && sup.length>0){ window.activeArea = area; sup.first().click(); if(!window.activateTabArea(tab, area)){ window.activeArea = null; } window.activeArea = null; return true; }else{ var have_tabs = $('#playlist_menu li').length; if(tab.match(/^playlists?\d+$/)){ var to_add = +tab.substring(8).replace(/^s/,'')-have_tabs; if(to_add>0 && have_tabs){ add_more_videos(to_add); return true; } } } return false; }); window.currentPath = ensure(function(){ return window.lastHistory.replace(basepath, '').split('?')[0]; }); window.main_tab = window.main_tab || 'videos'; window.addHistory = ensure(function(path){ if(window.console && console.log) console.log("Adding to history: "+path); if(window.history && history.replaceState && document.location.hostname.match(/^(youtube\.)?(\w{2,3}\.)?wn\.com$/)){ if(path == main_tab || path == main_tab+'/' || path == '' || path == '/') { path = basepath; } else if( path.match('^'+main_tab+'/') ){ path = basepath + '/' + path.replace(main_tab+'/', '').replace('--','/'); } else { path = basepath + '/' + path.replace('--','/'); } if(document.location.search){ path += document.location.search; } if(window.lastHistory) { history.pushState(null, null, path); } else if(window.lastHistory != path){ history.replaceState(null, null, path); window.lastHistory = path; } } else{ path = path.replace('--','/'); if(path == main_tab || path == main_tab+'/' || path == '' || path == '/') { path = ''; } if(window.lastHistory != '/'+path){ window.location.hash = path? '/'+path : ''; window.lastHistory = '/'+path; } } }); $('.tabtrigger li a').live('click', ensure(function() { var tab = $(this).attr('id'); if(tab.substring(0,1) == '#'){ var name = tab.substring(1); if(name in menu_names){ name = menu_names[name][0]; } realTab = rev_names[name]; $('#'+realTab).show(); if(window.console && console.log) console.log("Triggering tab: "+name+(window.activeArea?" activeArea="+window.activeArea:'')); var path = name; if(window.activeArea){ path = path + '/' + window.activeArea; } if(tab.match(/#playlist\d+/) || tab.match(/#details\d+/)){ $('.multiple-playlists').show(); $('.related_playlist').show(); $('.longest_videos_playlist').show(); }else { $('.multiple-playlists').hide(); $('.related_playlist').hide(); $('.longest_videos_playlist').hide(); } // start the related script only when the tab is on screen showing if (tab.match(/related_sites/)) { if (mc) { mc.startCredits(); } } window.activeTab = realTab; addHistory(path); setTimeout(ensure(function(){ if(tab.match(/language--/)){ $('.tabtrigger').offscreentabs('activateTab', 'language'); } if(tab.match(/weather/)) { $('.tabtrigger').offscreentabs('activateTab', 'weather'); loadContinent(); } updateMenus(tab); updateHeight(); }), 10); } return false; })); }); -->

Building (mathematics)

In mathematics, a building (also Tits building, Bruhat–Tits building, named after François Bruhat and Jacques Tits) is a combinatorial and geometric structure which simultaneously generalizes certain aspects of flag manifolds, finite projective planes, and Riemannian symmetric spaces. Initially introduced by Jacques Tits as a means to understand the structure of exceptional groups of Lie type, the theory has also been used to study the geometry and topology of homogeneous spaces of p-adic Lie groups and their discrete subgroups of symmetries, in the same way that trees have been used to study free groups.

Overview

The notion of a building was invented by Jacques Tits as a means of describing simple algebraic groups over an arbitrary field. Tits demonstrated how to every such group G one can associate a simplicial complex Δ = Δ(G) with an action of G, called the spherical building of G. The group G imposes very strong combinatorial regularity conditions on the complexes Δ that can arise in this fashion. By treating these conditions as axioms for a class of simplicial complexes, Tits arrived at his first definition of a building. A part of the data defining a building Δ is a Coxeter group W, which determines a highly symmetrical simplicial complex Σ = Σ(W,S), called the Coxeter complex. A building Δ is glued together from multiple copies of Σ, called its apartments, in a certain regular fashion. When W is a finite Coxeter group, the Coxeter complex is a topological sphere, and the corresponding buildings are said to be of spherical type. When W is an affine Weyl group, the Coxeter complex is a subdivision of the affine plane and one speaks of affine, or Euclidean, buildings. An affine building of type {\scriptstyle {\tilde {A}}_{1}} is the same as an infinite tree without terminal vertices.

Building (disambiguation)

A building is a constructed object intended for occupancy by humans or animals.

Building may also refer to:

  • Building (mathematics), a type of geometric structure
  • Buildings (album), an album by Northern Irish band General Fiasco
  • In computer programming, building is the process by which source code is converted into executable object code; see compiler
  • Building or Online creation, the name for creating areas and objects in online games
  • Building (magazine), a British magazine
  • A song by Poi Dog Pondering on their album Volo Volo
  • Building, a classification used by the U.S. National Register of Historic Places
  • Building (Brian Larsen album)
  • Building (Sense Field album)
  • See also

  • Structure (disambiguation)
  • Structure & Nonbuilding structure
  • Architectural structure, a man-made structure used or intended for supporting or sheltering any use or continuous occupancy
  • Online creation

    Online creation, also referred to as OLC, online coding, online building, and online editing, is a software feature of MUDs that allows users to edit a virtual world from within the game itself. In the absence of online creation, content is created in a text editor or level editor, and the program generally requires a restart in order to implement the changes.

    Online creation as original content

    An aspect of online creation that separates it from "mere game play" is that online creation systems can generally be used to create new content new objects, new locations, new creatures rather than simply creating instances of predefined items in the game world. Some have observed that certain forms of online creation notably those associated with creating new commands can threaten the stability of the server.

    History

    Origins

    The first publicly available MUD that featured in-game creation of the game world was Skrenta's 1988 Monster.

  • Create and describe new objects and locations
  • Application

    Application may refer to:

  • A verbal or written question:
  • Application for employment, a form or collection of forms that an individual seeking employment must fill out when seeking employment
  • Patent application, a request pending at a patent office for the grant of a patent
  • Application software, computer software designed to help the user to perform specific tasks
  • Function application in mathematics and computer science
  • Application (virtue), a characteristic encapsulated in diligence
  • Application software

    An application program (app or application for short) is a computer program designed to perform a group of coordinated functions, tasks, or activities for the benefit of the user. Examples of an application include a word processor, a spreadsheet, an accounting application, a web browkser, a media player, an aeronautical flight simulator, a console game or a photo editor. The collective noun application software refers to all applications collectively. This contrasts with system software, which is mainly involved with running the computer.

    Applications may be bundled with the computer and its system software or published separately, and may be coded as proprietary, open-source or university projects.

    Terminology

    In information technology, an application is a computer program designed to help people perform an activity. An application thus differs from an operating system (which runs a computer), a utility (which performs maintenance or general-purpose chores), and a programming tool (with which computer programs are created). Depending on the activity for which it was designed, an application can manipulate text, numbers, graphics, or a combination of these elements. Some application packages focus on a single task, such as word processing; others, called integrated software include several applications.

    Vitis

    Vitis (grapevines) is a genus of about 60 species of vining plants in the flowering plant family Vitaceae. The genus is made up of species predominantly from the Northern hemisphere. It is economically important as the source of grapes, both for direct consumption of the fruit and for fermentation to produce wine. The study and cultivation of grapevines is called viticulture.

    All vines share the same basic, physiological features. The roots anchor the vine to the soil and serve as the conduit where nutrients and water from the soil are absorbed. Along with the trunk or "permanent wood" features, the roots also serve as storage reserve of carbohydrates which the vine can use for energy in the winter after the leaves have fallen and are no longer conducting photosynthesis. The function of photosynthesis in the grapevine is to produce glucose which can be combined with other molecules to form larger carbohydrates (such as cellulose) that can be used to create other structures in the vine, energy reserves for the plant and, for fruiting grapevines, can be concentrated in grape berries which contain the reproductive seeds of the vine and are more attractive to birds and other animals.

    Podcasts:

    • Gates Computer Science Building (disambiguation) | Wikipedia audio article

      This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/William_Gates_Building Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. ...

      published: 07 Jun 2019
    • Disambiguation of the Building Code

      Join us for this webinar: February 21, 2024 12 - 1 pm est. To register email education@grindleywilliams.com

      published: 31 Jan 2024
    • Disambiguation – Linking Data Science and Engineering | NLP Summit 2020

      Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/ Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores. Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as a...

      published: 07 Jan 2021
    • Manor House (disambiguation)

      A manor house is a type of historical building. Manor House may also refer to: Source: https://en.wikipedia.org/wiki/Manor_House_(disambiguation) Created with WikipediaReaderReborn (c) WikipediaReader

      published: 19 Nov 2021
    • GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)

      #bert #wsd #wordnet This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets. ⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a...

      published: 07 Apr 2021
    • KGC 2022: KG-Based Approach to Named Entity Disambiguation for Healthcare Applications — GraphAware

      Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the healthcare domain and combine multiple knowledge graphs and ontologies in a single valuable source of truth. The approach incorporates node embeddings into the NED model, employing the KG structure for the training process. The tool can support different healthcare applications, including literature search and retrieval, clinical decision-making, relational knowledge findings, chatbots for health assistance, and recommendation tools for patients and medical practitioners. Giuseppe Futia holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the auto...

      published: 03 Nov 2022
    • Trewern (disambiguation)

      Trewern is a village in Powys, Wales. Trewern may also refer to: Trewern Hall or Trewern Farmhouse, a country house in Montgomeryshire, Wales Trewern House, one of the Grade II* listed buildings in Powys, Wales Trewern Mansion, in the village Llanddewi Velfrey, Pembrokeshire, Wales Source: https://en.wikipedia.org/wiki/Trewern_(disambiguation) Created with WikipediaReaderReborn (c) WikipediaReader

      published: 10 Feb 2022
    • Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation

      Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) t...

      published: 27 Oct 2022
    • Word Sense Disambiguation Using Naive bayes Classifier

      This video is about Word Sense Disambiguation Using Naive bayes Classifier. If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in

      published: 08 Apr 2020
    • Upton Hall (disambiguation)

      Upton Hall is the headquarters of the British Horological Institute, in Upton, Nottinghamshire, England. Upton Hall may also refer to: Upton Hall, Upton, previously manor house of Upton, Chesire, UK now home to the Upton Hall School FCJ. Upton Hall School FCJ, in Upton, Wirral, England Upton Hall, an academic building at Carlisle Barracks, Carlisle, Pennsylvania, US Upton Hall, Northamptonshire, England; home of Quinton House School Source: https://en.wikipedia.org/wiki/Upton_Hall_(disambiguation) Created with WikipediaReaderReborn (c) WikipediaReader

      published: 13 May 2022
    developed with YouTube
    Gates Computer Science Building (disambiguation) | Wikipedia audio article
    1:06

    Gates Computer Science Building (disambiguation) | Wikipedia audio article

    • Order:
    • Duration: 1:06
    • Uploaded Date: 07 Jun 2019
    • views: 4
    This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/William_Gates_Building Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.7736767806098022 Voice name: en-AU-Wavenet-A "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= William Gates Building might refer to several structures named after Bill Gates (or his father William Gates): Carnegie Mellon School of Computer Science, Pittsburgh, Pennsylvania, USA Gates Computer Science Building, Stanford, California, USA William Gates Building, Cambridge, England, housing the University of Cambridge Computer Laboratory since 2001Contributions from the Bill & Melinda Gates Foundation have resulted in similarly named computer science buildings on the campuses of: Carnegie Mellon University, the Gates Center for Computer Science, opened in 2009, consists of two buildings. Massachusetts Institute of Technology, one of the two towers of the Stata Center is known as the Gates tower. University of Texas at Austin, the Bill and Melinda Gates Computer Science Complex. Cornell University, Bill & Melinda Gates Hall.
    https://wn.com/Gates_Computer_Science_Building_(Disambiguation)_|_Wikipedia_Audio_Article
    Disambiguation of the Building Code
    0:41

    Disambiguation of the Building Code

    • Order:
    • Duration: 0:41
    • Uploaded Date: 31 Jan 2024
    • views: 41
    Join us for this webinar: February 21, 2024 12 - 1 pm est. To register email education@grindleywilliams.com
    https://wn.com/Disambiguation_Of_The_Building_Code
    Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
    29:09

    Disambiguation – Linking Data Science and Engineering | NLP Summit 2020

    • Order:
    • Duration: 29:09
    • Uploaded Date: 07 Jan 2021
    • views: 545
    Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/ Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores. Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job. We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
    https://wn.com/Disambiguation_–_Linking_Data_Science_And_Engineering_|_Nlp_Summit_2020
    Manor House (disambiguation)
    3:19

    Manor House (disambiguation)

    • Order:
    • Duration: 3:19
    • Uploaded Date: 19 Nov 2021
    • views: 1
    A manor house is a type of historical building. Manor House may also refer to: Source: https://en.wikipedia.org/wiki/Manor_House_(disambiguation) Created with WikipediaReaderReborn (c) WikipediaReader
    https://wn.com/Manor_House_(Disambiguation)
    GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
    11:18

    GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)

    • Order:
    • Duration: 11:18
    • Uploaded Date: 07 Apr 2021
    • views: 2118
    #bert #wsd #wordnet This research uses BERT for Word Sense Disambiguation use case in NLP by modeling the entire problem as sentence classification task using the Gloss knowledge. They show state-of-art results on benchmark datasets. ⏩ Abstract: Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in knowledge-based methods. Recent studies have shown the effectiveness of incorporating gloss (sense definition) into neural networks for WSD. However, compared with traditional word expert supervised methods, they have not achieved much improvement. In this paper, we focus on how to better leverage gloss knowledge in a supervised neural WSD system. We construct context-gloss pairs and propose three BERT-based models for WSD. We fine-tune the pre-trained BERT model on SemCor3.0 training corpus and the experimental results on several English all-words WSD benchmark datasets show that our approach outperforms the state-of-the-art systems. Please feel free to share out the content and subscribe to my channel :) ⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1 ⏩ OUTLINE: 0:00 - Abstract 01:46 - Task Definition 02:11 - Data Collection approach 02:30 - WordNet Overview 03:35 - Sentence construction method table overview 05:27 - BERT(Token-CLS) 06:41 - GlossBERT 07:52 - Context-Gloss Pair with Weak Supervision 08:55 - GlossBERT(Token-CLS) 09:20 - GlossBERT(Sent-CLS) 09:44 - GlossBERT(Sent-CLS-WS) 10:09 - Results ⏩ Paper Title: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge ⏩ Paper: https://arxiv.org/abs/1908.07245v4 ⏩ Code: https://github.com/HSLCY/GlossBERT ⏩ Author: Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang ⏩ Organisation: Fudan University ⏩ IMPORTANT LINKS Full Playlist on BERT usecases in NLP: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f Full Playlist on Text Data Augmentation Techniques: https://www.youtube.com/watch?v=9O9scQb4sNo&list=PLsAqq9lZFOtUg63g_95OuV-R2GhV1UiIZ Full Playlist on Text Summarization: https://www.youtube.com/watch?v=kC5kP1dPAzc&list=PLsAqq9lZFOtV8jYq3JlkqPQUN5QxcWq0f Full Playlist on Machine Learning with Graphs: https://www.youtube.com/watch?v=-uJL_ANy1jc&list=PLsAqq9lZFOtU7tT6mDXX_fhv1R1-jGiYf Full Playlist on Evaluating NLG Systems: https://www.youtube.com/watch?v=-CIlz-5um7U&list=PLsAqq9lZFOtXlzg5RNyV00ueE89PwnCbu ********************************************* If you want to support me financially which totally optional and voluntary :) ❤️ You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee ********************************************* ⏩ Youtube - https://www.youtube.com/c/TechVizTheDataScienceGuy ⏩ Blog - https://prakhartechviz.blogspot.com ⏩ LinkedIn - https://linkedin.com/in/prakhar21 ⏩ Medium - https://medium.com/@prakhar.mishra ⏩ GitHub - https://github.com/prakhar21 ⏩ Twitter - https://twitter.com/rattller ********************************************* Please feel free to share out the content and subscribe to my channel :) ⏩ Subscribe - https://youtube.com/channel/UCoz8NrwgL7U9535VNc0mRPA?sub_confirmation=1 Tools I use for making videos :) ⏩ iPad - https://tinyurl.com/y39p6pwc ⏩ Apple Pencil - https://tinyurl.com/y5rk8txn ⏩ GoodNotes - https://tinyurl.com/y627cfsa #techviz #datascienceguy #ai #researchpaper #naturallanguageprocessing #bart
    https://wn.com/Glossbert_Bert_For_Word_Sense_Disambiguation_With_Gloss_Knowledge_(Research_Paper_Walkthrough)
    KGC 2022: KG-Based Approach to Named Entity Disambiguation for Healthcare Applications — GraphAware
    24:46

    KGC 2022: KG-Based Approach to Named Entity Disambiguation for Healthcare Applications — GraphAware

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    • Duration: 24:46
    • Uploaded Date: 03 Nov 2022
    • views: 393
    Senior Data Scientist at GraphAware, Giuseppe Futia, shows how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the healthcare domain and combine multiple knowledge graphs and ontologies in a single valuable source of truth. The approach incorporates node embeddings into the NED model, employing the KG structure for the training process. The tool can support different healthcare applications, including literature search and retrieval, clinical decision-making, relational knowledge findings, chatbots for health assistance, and recommendation tools for patients and medical practitioners. Giuseppe Futia holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the automatic building of Knowledge Graphs. The 5 key takeaways: 1. The components and requirements of the Intelligent Advisory Systems (IAS). 2. How they use Hume, the Neo4j-backed no-code knowledge graph ecosystem. 3. Delving into diabetes real-life use cases and linking to the Unified Medical Language System. 4. How GraphAware utilizes ontology-based enrichment for their knowledge graph-based approach. 5. The cooperation of NED candidates selections and NED candidates ranking. #biotechnology #lifescience #technology
    https://wn.com/Kgc_2022_Kg_Based_Approach_To_Named_Entity_Disambiguation_For_Healthcare_Applications_—_Graphaware
    Trewern (disambiguation)
    0:28

    Trewern (disambiguation)

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    • Duration: 0:28
    • Uploaded Date: 10 Feb 2022
    • views: 9
    Trewern is a village in Powys, Wales. Trewern may also refer to: Trewern Hall or Trewern Farmhouse, a country house in Montgomeryshire, Wales Trewern House, one of the Grade II* listed buildings in Powys, Wales Trewern Mansion, in the village Llanddewi Velfrey, Pembrokeshire, Wales Source: https://en.wikipedia.org/wiki/Trewern_(disambiguation) Created with WikipediaReaderReborn (c) WikipediaReader
    https://wn.com/Trewern_(Disambiguation)
    Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
    4:54

    Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation

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    • Duration: 4:54
    • Uploaded Date: 27 Oct 2022
    • views: 1087
    Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requires accurate recovery of the albedo, regardless of age, sex, or ethnicity. While significant progress has been made on estimating 3D facial geometry, appearance estimation has received less attention. The task is fundamentally ambiguous because the observed color is a function of albedo and lighting, both of which are unknown. We find that current methods are biased towards light skin tones due to (1) strongly biased priors that prefer lighter pigmentation and (2) algorithmic solutions that disregard the light/albedo ambiguity. To address this, we propose a new evaluation dataset (FAIR) and an algorithm (TRUST) to improve albedo estimation and, hence, fairness. Specifically, we create the first facial albedo evaluation benchmark where subjects are balanced in terms of skin color, and measure accuracy using the Individual Typology Angle (ITA) metric. We then address the light/albedo ambiguity by building on a key observation: the image of the full scene –as opposed to a cropped image of the face– contains important information about lighting that can be used for disambiguation. TRUST regresses facial albedo by conditioning on both the face region and a global illumination signal obtained from the scene image. Our experimental results show significant improvement compared to state- of-the-art methods on albedo estimation, both in terms of accuracy and fairness. The evaluation benchmark and code are available for research purposes at https://trust.is.tue.mpg.de. PDF: https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136730072.pdf Project: https://trust.is.tue.mpg.de/index.html Code: https://github.com/HavenFeng/TRUST Dataset: https://trust.is.tue.mpg.de/login.php Reference: @inproceedings{TRUST:ECCV2022, title = {Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation}, author = {Feng, Haiwen and Bolkart, Timo and Tesch, Joachim and Black, Michael J. and Abrevaya, Victoria}, booktitle = {European Conference on Computer Vision (ECCV)}, publisher = {Springer International Publishing}, month = oct, year = {2022}, doi = {}, month_numeric = {10} }
    https://wn.com/Towards_Racially_Unbiased_Skin_Tone_Estimation_Via_Scene_Disambiguation
    Word Sense Disambiguation Using Naive bayes Classifier
    14:19

    Word Sense Disambiguation Using Naive bayes Classifier

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    • Uploaded Date: 08 Apr 2020
    • views: 4754
    This video is about Word Sense Disambiguation Using Naive bayes Classifier. If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at info@firstlanguage.in
    https://wn.com/Word_Sense_Disambiguation_Using_Naive_Bayes_Classifier
    Upton Hall (disambiguation)
    0:39

    Upton Hall (disambiguation)

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    • Duration: 0:39
    • Uploaded Date: 13 May 2022
    • views: 24
    Upton Hall is the headquarters of the British Horological Institute, in Upton, Nottinghamshire, England. Upton Hall may also refer to: Upton Hall, Upton, previously manor house of Upton, Chesire, UK now home to the Upton Hall School FCJ. Upton Hall School FCJ, in Upton, Wirral, England Upton Hall, an academic building at Carlisle Barracks, Carlisle, Pennsylvania, US Upton Hall, Northamptonshire, England; home of Quinton House School Source: https://en.wikipedia.org/wiki/Upton_Hall_(disambiguation) Created with WikipediaReaderReborn (c) WikipediaReader
    https://wn.com/Upton_Hall_(Disambiguation)
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    Gates Computer Science Building (disambiguation) | Wikipedia audio article

    This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/William_Gates_Building Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.7736767806098022 Voice name: en-AU-Wavenet-A "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= William Gates Building might refer to several structures named after Bill Gates (or his father William Gates): Carnegie Mellon School of Computer Science, Pittsburgh, Pennsylvania, USA Gates Computer Science Building, Stanford, California, USA William Gates Building, Cambridge, England, housing the University of Cambridge Computer Laboratory since 2001Contributions from the Bill & Melinda Gates Foundation have resulted in similarly named computer science buildings on the campuses of: Carnegie Mellon University, the Gates Center for Computer Science, opened in 2009, consists of two buildings. Massachusetts Institute of Technology, one of the two towers of the Stata Center is known as the Gates tower. University of Texas at Austin, the Bill and Melinda Gates Computer Science Complex. Cornell University, Bill & Melinda Gates Hall.
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    GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (Research Paper Walkthrough)
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    Building (mathematics)

    In mathematics, a building (also Tits building, Bruhat–Tits building, named after François Bruhat and Jacques Tits) is a combinatorial and geometric structure which simultaneously generalizes certain aspects of flag manifolds, finite projective planes, and Riemannian symmetric spaces. Initially introduced by Jacques Tits as a means to understand the structure of exceptional groups of Lie type, the theory has also been used to study the geometry and topology of homogeneous spaces of p-adic Lie groups and their discrete subgroups of symmetries, in the same way that trees have been used to study free groups.

    Overview

    The notion of a building was invented by Jacques Tits as a means of describing simple algebraic groups over an arbitrary field. Tits demonstrated how to every such group G one can associate a simplicial complex Δ = Δ(G) with an action of G, called the spherical building of G. The group G imposes very strong combinatorial regularity conditions on the complexes Δ that can arise in this fashion. By treating these conditions as axioms for a class of simplicial complexes, Tits arrived at his first definition of a building. A part of the data defining a building Δ is a Coxeter group W, which determines a highly symmetrical simplicial complex Σ = Σ(W,S), called the Coxeter complex. A building Δ is glued together from multiple copies of Σ, called its apartments, in a certain regular fashion. When W is a finite Coxeter group, the Coxeter complex is a topological sphere, and the corresponding buildings are said to be of spherical type. When W is an affine Weyl group, the Coxeter complex is a subdivision of the affine plane and one speaks of affine, or Euclidean, buildings. An affine building of type {\scriptstyle {\tilde {A}}_{1}} is the same as an infinite tree without terminal vertices.

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