
{"version":"1.0","provider_name":"University Post","provider_url":"https:\/\/uniavisen.dk\/en\/","author_name":"University Post","author_url":"https:\/\/uniavisen.dk\/en\/","title":"Meaning Representation and Parsing in Natural Language Processing","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"B2mMlCcnfI\"><a href=\"https:\/\/uniavisen.dk\/en\/event\/meaning-representation-and-parsing-in-natural-language-processing\/\">Meaning Representation and Parsing in Natural Language Processing<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/uniavisen.dk\/en\/event\/meaning-representation-and-parsing-in-natural-language-processing\/embed\/#?secret=B2mMlCcnfI\" width=\"600\" height=\"338\" title=\"&#8220;Meaning Representation and Parsing in Natural Language Processing&#8221; &#8212; University Post\" data-secret=\"B2mMlCcnfI\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/uniavisen.dk\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/uniavisen.dk\/wp-content\/uploads\/2021\/04\/yadayada1432921_1920.jpg","thumbnail_width":1920,"thumbnail_height":1280,"description":"Daniel Hershcovich, Natural Language Processing Section at Department of Computer Science. Abstract Artificial intelligence\u00a0is excellent at extracting information from text, such as sentiment from online business\u00a0reviews. However, answering complex questions automatically remains\u00a0a major\u00a0challenge. I will show that parsing to meaning representation is key to robust natural language understanding, and discuss recent advances in parsing technology. [&hellip;]"}